idx int64 1 56k | question stringlengths 15 155 | answer stringlengths 2 29.2k ⌀ | question_cut stringlengths 15 100 | answer_cut stringlengths 2 200 ⌀ | conversation stringlengths 47 29.3k | conversation_cut stringlengths 47 301 |
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5,101 | Is it possible to give variable sized images as input to a convolutional neural network? | I had to work through this problem today so I thought I'd share what I found that worked. I've found that there were quite a few "this could work in theory" answers and tidbits on the web but less from a practical "here's how you concretely implement this".
To implement this using Tensorflow Keras, I had to do the foll... | Is it possible to give variable sized images as input to a convolutional neural network? | I had to work through this problem today so I thought I'd share what I found that worked. I've found that there were quite a few "this could work in theory" answers and tidbits on the web but less fro | Is it possible to give variable sized images as input to a convolutional neural network?
I had to work through this problem today so I thought I'd share what I found that worked. I've found that there were quite a few "this could work in theory" answers and tidbits on the web but less from a practical "here's how you c... | Is it possible to give variable sized images as input to a convolutional neural network?
I had to work through this problem today so I thought I'd share what I found that worked. I've found that there were quite a few "this could work in theory" answers and tidbits on the web but less fro |
5,102 | Is it possible to give variable sized images as input to a convolutional neural network? | Yes, simply select an appropriate backbone network which doesn't rely on the size of the input image to be some precise value -- most networks satisfy this criteria. | Is it possible to give variable sized images as input to a convolutional neural network? | Yes, simply select an appropriate backbone network which doesn't rely on the size of the input image to be some precise value -- most networks satisfy this criteria. | Is it possible to give variable sized images as input to a convolutional neural network?
Yes, simply select an appropriate backbone network which doesn't rely on the size of the input image to be some precise value -- most networks satisfy this criteria. | Is it possible to give variable sized images as input to a convolutional neural network?
Yes, simply select an appropriate backbone network which doesn't rely on the size of the input image to be some precise value -- most networks satisfy this criteria. |
5,103 | Does anyone know any good open source software for visualizing data from database? | I've never tried it, but there's an open source desktop / browser-based visualisation suite called WEAVE (short for Web-based Analysis and Visualization Environment). Like Tableau, it's intended to let you explore data through an interactive click-based interface. Unlike Tableau, it's open source: you can download the ... | Does anyone know any good open source software for visualizing data from database? | I've never tried it, but there's an open source desktop / browser-based visualisation suite called WEAVE (short for Web-based Analysis and Visualization Environment). Like Tableau, it's intended to le | Does anyone know any good open source software for visualizing data from database?
I've never tried it, but there's an open source desktop / browser-based visualisation suite called WEAVE (short for Web-based Analysis and Visualization Environment). Like Tableau, it's intended to let you explore data through an interac... | Does anyone know any good open source software for visualizing data from database?
I've never tried it, but there's an open source desktop / browser-based visualisation suite called WEAVE (short for Web-based Analysis and Visualization Environment). Like Tableau, it's intended to le |
5,104 | Does anyone know any good open source software for visualizing data from database? | Point and click interfaces seem easier, but in the long run you will benifit by learing "writing the code".
One advantage of script based systems over point, click, drag interfaces is the audit trail/history (some GUIs do have a history, but they generally are not as easy to work with as a saved script). If you writ... | Does anyone know any good open source software for visualizing data from database? | Point and click interfaces seem easier, but in the long run you will benifit by learing "writing the code".
One advantage of script based systems over point, click, drag interfaces is the audit trai | Does anyone know any good open source software for visualizing data from database?
Point and click interfaces seem easier, but in the long run you will benifit by learing "writing the code".
One advantage of script based systems over point, click, drag interfaces is the audit trail/history (some GUIs do have a histor... | Does anyone know any good open source software for visualizing data from database?
Point and click interfaces seem easier, but in the long run you will benifit by learing "writing the code".
One advantage of script based systems over point, click, drag interfaces is the audit trai |
5,105 | Does anyone know any good open source software for visualizing data from database? | RapidMiner has good visualisations:
http://rapid-i.com/component/option,com_myblog/show,New-Plotters-for-RapidMiner.html/Itemid,172/lang,en/
And of course, there is R + ggplot2, using a web interface or a graphical frontend:
http://labs.dataspora.com/ggplot2/
http://www.deducer.org/pmwiki/index.php?n=Main.PlotBuilder | Does anyone know any good open source software for visualizing data from database? | RapidMiner has good visualisations:
http://rapid-i.com/component/option,com_myblog/show,New-Plotters-for-RapidMiner.html/Itemid,172/lang,en/
And of course, there is R + ggplot2, using a web interface | Does anyone know any good open source software for visualizing data from database?
RapidMiner has good visualisations:
http://rapid-i.com/component/option,com_myblog/show,New-Plotters-for-RapidMiner.html/Itemid,172/lang,en/
And of course, there is R + ggplot2, using a web interface or a graphical frontend:
http://labs... | Does anyone know any good open source software for visualizing data from database?
RapidMiner has good visualisations:
http://rapid-i.com/component/option,com_myblog/show,New-Plotters-for-RapidMiner.html/Itemid,172/lang,en/
And of course, there is R + ggplot2, using a web interface |
5,106 | Does anyone know any good open source software for visualizing data from database? | You can use the free cloud service at https://my.infocaptor.com/free_data_visualization.php
The online version lets you upload any csv/excel data and quickly visualize it. You don't need login for that. If you want to work with databases then you will need to login or you can download the software.
PS: I am part of the... | Does anyone know any good open source software for visualizing data from database? | You can use the free cloud service at https://my.infocaptor.com/free_data_visualization.php
The online version lets you upload any csv/excel data and quickly visualize it. You don't need login for tha | Does anyone know any good open source software for visualizing data from database?
You can use the free cloud service at https://my.infocaptor.com/free_data_visualization.php
The online version lets you upload any csv/excel data and quickly visualize it. You don't need login for that. If you want to work with databases... | Does anyone know any good open source software for visualizing data from database?
You can use the free cloud service at https://my.infocaptor.com/free_data_visualization.php
The online version lets you upload any csv/excel data and quickly visualize it. You don't need login for tha |
5,107 | Does anyone know any good open source software for visualizing data from database? | I would use SCaVis data analysis and data visualization program. It is written in Java and runs on any platform, including Mac and Linux. You can also prototype charts using Python. | Does anyone know any good open source software for visualizing data from database? | I would use SCaVis data analysis and data visualization program. It is written in Java and runs on any platform, including Mac and Linux. You can also prototype charts using Python. | Does anyone know any good open source software for visualizing data from database?
I would use SCaVis data analysis and data visualization program. It is written in Java and runs on any platform, including Mac and Linux. You can also prototype charts using Python. | Does anyone know any good open source software for visualizing data from database?
I would use SCaVis data analysis and data visualization program. It is written in Java and runs on any platform, including Mac and Linux. You can also prototype charts using Python. |
5,108 | Does anyone know any good open source software for visualizing data from database? | There is a new tool called Helical Insight which is a open source BI tool using which you can create charts, reports, dashboards & various data visualizations. Using this you can create reports in 2 ways: Self service BI & Instant BI. In Self service BI you drag n drop columns which you want, add filters to ultimately ... | Does anyone know any good open source software for visualizing data from database? | There is a new tool called Helical Insight which is a open source BI tool using which you can create charts, reports, dashboards & various data visualizations. Using this you can create reports in 2 w | Does anyone know any good open source software for visualizing data from database?
There is a new tool called Helical Insight which is a open source BI tool using which you can create charts, reports, dashboards & various data visualizations. Using this you can create reports in 2 ways: Self service BI & Instant BI. In... | Does anyone know any good open source software for visualizing data from database?
There is a new tool called Helical Insight which is a open source BI tool using which you can create charts, reports, dashboards & various data visualizations. Using this you can create reports in 2 w |
5,109 | Does anyone know any good open source software for visualizing data from database? | There actually is a correct answer to this question, Orange. It was already around 2.something release at the time the question was posted. On Linux-based systems it can be simply installed through the Python Package Index with pip install orange3 and it is also in the Arch User Repository for Arch Linux, Manjaro, ALAR... | Does anyone know any good open source software for visualizing data from database? | There actually is a correct answer to this question, Orange. It was already around 2.something release at the time the question was posted. On Linux-based systems it can be simply installed through th | Does anyone know any good open source software for visualizing data from database?
There actually is a correct answer to this question, Orange. It was already around 2.something release at the time the question was posted. On Linux-based systems it can be simply installed through the Python Package Index with pip insta... | Does anyone know any good open source software for visualizing data from database?
There actually is a correct answer to this question, Orange. It was already around 2.something release at the time the question was posted. On Linux-based systems it can be simply installed through th |
5,110 | Does anyone know any good open source software for visualizing data from database? | Maybe http://www-958.ibm.com/software/data/cognos/manyeyes/ is what you want. Beware that the data you upload is public though. Edit: Sorry, I see you asked for open source. My bad. | Does anyone know any good open source software for visualizing data from database? | Maybe http://www-958.ibm.com/software/data/cognos/manyeyes/ is what you want. Beware that the data you upload is public though. Edit: Sorry, I see you asked for open source. My bad. | Does anyone know any good open source software for visualizing data from database?
Maybe http://www-958.ibm.com/software/data/cognos/manyeyes/ is what you want. Beware that the data you upload is public though. Edit: Sorry, I see you asked for open source. My bad. | Does anyone know any good open source software for visualizing data from database?
Maybe http://www-958.ibm.com/software/data/cognos/manyeyes/ is what you want. Beware that the data you upload is public though. Edit: Sorry, I see you asked for open source. My bad. |
5,111 | Does anyone know any good open source software for visualizing data from database? | There is also a young program for (automated) reading, filter, process, interpolate and plot n-dimensional values from different sources (like libreOffice- or csv-files) and variable size:
diaGrabber.
You have to use some simple python-commands to create a case.
After this you can manipulate the graphical output in an... | Does anyone know any good open source software for visualizing data from database? | There is also a young program for (automated) reading, filter, process, interpolate and plot n-dimensional values from different sources (like libreOffice- or csv-files) and variable size:
diaGrabber. | Does anyone know any good open source software for visualizing data from database?
There is also a young program for (automated) reading, filter, process, interpolate and plot n-dimensional values from different sources (like libreOffice- or csv-files) and variable size:
diaGrabber.
You have to use some simple python-c... | Does anyone know any good open source software for visualizing data from database?
There is also a young program for (automated) reading, filter, process, interpolate and plot n-dimensional values from different sources (like libreOffice- or csv-files) and variable size:
diaGrabber. |
5,112 | Comparing two models using anova() function in R | When you use anova(lm.1,lm.2,test="Chisq"), it performs the Chi-square test to compare lm.1 and lm.2 (i.e. it tests whether reduction in the residual sum of squares are statistically significant or not). Note that this makes sense only if lm.1 and lm.2 are nested models.
For example, in the 1st anova that you used, th... | Comparing two models using anova() function in R | When you use anova(lm.1,lm.2,test="Chisq"), it performs the Chi-square test to compare lm.1 and lm.2 (i.e. it tests whether reduction in the residual sum of squares are statistically significant or no | Comparing two models using anova() function in R
When you use anova(lm.1,lm.2,test="Chisq"), it performs the Chi-square test to compare lm.1 and lm.2 (i.e. it tests whether reduction in the residual sum of squares are statistically significant or not). Note that this makes sense only if lm.1 and lm.2 are nested models.... | Comparing two models using anova() function in R
When you use anova(lm.1,lm.2,test="Chisq"), it performs the Chi-square test to compare lm.1 and lm.2 (i.e. it tests whether reduction in the residual sum of squares are statistically significant or no |
5,113 | Comparing two models using anova() function in R | I agree with the OP that the help for the anova() function is not particularly helpful. The help of anova.lm() (as suggested by @Stat) is much more informative.
For me, however, the real eye-opener was "YaRrr! The Pirate's Guide to R", Chap.15.3:
The anova() function will take the model objects as arguments, and
retur... | Comparing two models using anova() function in R | I agree with the OP that the help for the anova() function is not particularly helpful. The help of anova.lm() (as suggested by @Stat) is much more informative.
For me, however, the real eye-opener wa | Comparing two models using anova() function in R
I agree with the OP that the help for the anova() function is not particularly helpful. The help of anova.lm() (as suggested by @Stat) is much more informative.
For me, however, the real eye-opener was "YaRrr! The Pirate's Guide to R", Chap.15.3:
The anova() function wi... | Comparing two models using anova() function in R
I agree with the OP that the help for the anova() function is not particularly helpful. The help of anova.lm() (as suggested by @Stat) is much more informative.
For me, however, the real eye-opener wa |
5,114 | Random forest assumptions | Thanks for a very good question! I will try to give my intuition behind it.
In order to understand this, remember the "ingredients" of random forest classifier (there are some modifications, but this is the general pipeline):
At each step of building individual tree we find the best split of data
While building a tree... | Random forest assumptions | Thanks for a very good question! I will try to give my intuition behind it.
In order to understand this, remember the "ingredients" of random forest classifier (there are some modifications, but this | Random forest assumptions
Thanks for a very good question! I will try to give my intuition behind it.
In order to understand this, remember the "ingredients" of random forest classifier (there are some modifications, but this is the general pipeline):
At each step of building individual tree we find the best split of ... | Random forest assumptions
Thanks for a very good question! I will try to give my intuition behind it.
In order to understand this, remember the "ingredients" of random forest classifier (there are some modifications, but this |
5,115 | Random forest assumptions | In one 2010 paper the authors documented that random forest models unreliably estimated the importance of variables when variables were multicolinear across multi-dimensional statistical space. I usually check for this before running random forest models.
http://www.esajournals.org/doi/abs/10.1890/08-0879.1 | Random forest assumptions | In one 2010 paper the authors documented that random forest models unreliably estimated the importance of variables when variables were multicolinear across multi-dimensional statistical space. I usua | Random forest assumptions
In one 2010 paper the authors documented that random forest models unreliably estimated the importance of variables when variables were multicolinear across multi-dimensional statistical space. I usually check for this before running random forest models.
http://www.esajournals.org/doi/abs/10... | Random forest assumptions
In one 2010 paper the authors documented that random forest models unreliably estimated the importance of variables when variables were multicolinear across multi-dimensional statistical space. I usua |
5,116 | How do you do bootstrapping with time series data? | As @cardinal points out, variations on the 'block bootstrap' are a natural approach. Here, depending on the method, you select stretches of the time series, either overlapping or not and of fixed length or random, which can guarantee stationarity in the samples (Politis and Romano, 1991) then stitch them back together... | How do you do bootstrapping with time series data? | As @cardinal points out, variations on the 'block bootstrap' are a natural approach. Here, depending on the method, you select stretches of the time series, either overlapping or not and of fixed len | How do you do bootstrapping with time series data?
As @cardinal points out, variations on the 'block bootstrap' are a natural approach. Here, depending on the method, you select stretches of the time series, either overlapping or not and of fixed length or random, which can guarantee stationarity in the samples (Polit... | How do you do bootstrapping with time series data?
As @cardinal points out, variations on the 'block bootstrap' are a natural approach. Here, depending on the method, you select stretches of the time series, either overlapping or not and of fixed len |
5,117 | How do you do bootstrapping with time series data? | The resampling method introduced in Efron (1979) was designed for i.i.d. univariate data but is easily extended to multivariate data. As discussed in . If $ x_1,···,x_n $ is a sample of vectors, to maintain the covariance structure of the data in the sample. It is not immediately obvious whether one can resample a time... | How do you do bootstrapping with time series data? | The resampling method introduced in Efron (1979) was designed for i.i.d. univariate data but is easily extended to multivariate data. As discussed in . If $ x_1,···,x_n $ is a sample of vectors, to ma | How do you do bootstrapping with time series data?
The resampling method introduced in Efron (1979) was designed for i.i.d. univariate data but is easily extended to multivariate data. As discussed in . If $ x_1,···,x_n $ is a sample of vectors, to maintain the covariance structure of the data in the sample. It is not ... | How do you do bootstrapping with time series data?
The resampling method introduced in Efron (1979) was designed for i.i.d. univariate data but is easily extended to multivariate data. As discussed in . If $ x_1,···,x_n $ is a sample of vectors, to ma |
5,118 | Motivation for Kolmogorov distance between distributions | Mark,
the main reason of which I am aware for the use of K-S is because it arises naturally from Glivenko-Cantelli theorems in univariate empirical processes. The one reference I'd recommend is A.W.van der Vaart "Asymptotic Statistics", ch. 19. A more advanced monograph is "Weak Convergence and Empirical Processes" by ... | Motivation for Kolmogorov distance between distributions | Mark,
the main reason of which I am aware for the use of K-S is because it arises naturally from Glivenko-Cantelli theorems in univariate empirical processes. The one reference I'd recommend is A.W.va | Motivation for Kolmogorov distance between distributions
Mark,
the main reason of which I am aware for the use of K-S is because it arises naturally from Glivenko-Cantelli theorems in univariate empirical processes. The one reference I'd recommend is A.W.van der Vaart "Asymptotic Statistics", ch. 19. A more advanced mo... | Motivation for Kolmogorov distance between distributions
Mark,
the main reason of which I am aware for the use of K-S is because it arises naturally from Glivenko-Cantelli theorems in univariate empirical processes. The one reference I'd recommend is A.W.va |
5,119 | Motivation for Kolmogorov distance between distributions | As a summary, my answer is : if you have an explicit expression or can figure out some how what your distance is measuring (what "differences" it gives weigth to), then you can say what it is better for. An other complementary way to analyse and compare such test is the minimax theory.
At the end some test will be good... | Motivation for Kolmogorov distance between distributions | As a summary, my answer is : if you have an explicit expression or can figure out some how what your distance is measuring (what "differences" it gives weigth to), then you can say what it is better f | Motivation for Kolmogorov distance between distributions
As a summary, my answer is : if you have an explicit expression or can figure out some how what your distance is measuring (what "differences" it gives weigth to), then you can say what it is better for. An other complementary way to analyse and compare such test... | Motivation for Kolmogorov distance between distributions
As a summary, my answer is : if you have an explicit expression or can figure out some how what your distance is measuring (what "differences" it gives weigth to), then you can say what it is better f |
5,120 | Motivation for Kolmogorov distance between distributions | Computational issues are the strongest argument I've heard one way or the other. The single biggest advantage of the Kolmogorov distance is that it's very easy to compute analytically for pretty much any CDF. Most other distance metrics don't have a closed-form expression except, sometimes, in the Gaussian case.
The ... | Motivation for Kolmogorov distance between distributions | Computational issues are the strongest argument I've heard one way or the other. The single biggest advantage of the Kolmogorov distance is that it's very easy to compute analytically for pretty much | Motivation for Kolmogorov distance between distributions
Computational issues are the strongest argument I've heard one way or the other. The single biggest advantage of the Kolmogorov distance is that it's very easy to compute analytically for pretty much any CDF. Most other distance metrics don't have a closed-form... | Motivation for Kolmogorov distance between distributions
Computational issues are the strongest argument I've heard one way or the other. The single biggest advantage of the Kolmogorov distance is that it's very easy to compute analytically for pretty much |
5,121 | Motivation for Kolmogorov distance between distributions | I think you have to consider the theoretical vs applied advantages of the different notions of distance. Mathematically natural objects don’t necessarily translate well into application.
Kolmogorov-Smirnov is the most well-known for application, and is entrenched in testing for goodness of fit. I suppose that one of... | Motivation for Kolmogorov distance between distributions | I think you have to consider the theoretical vs applied advantages of the different notions of distance. Mathematically natural objects don’t necessarily translate well into application.
Kolmogorov- | Motivation for Kolmogorov distance between distributions
I think you have to consider the theoretical vs applied advantages of the different notions of distance. Mathematically natural objects don’t necessarily translate well into application.
Kolmogorov-Smirnov is the most well-known for application, and is entrench... | Motivation for Kolmogorov distance between distributions
I think you have to consider the theoretical vs applied advantages of the different notions of distance. Mathematically natural objects don’t necessarily translate well into application.
Kolmogorov- |
5,122 | Motivation for Kolmogorov distance between distributions | I can't give you additional reasons to use the Kolmogorov-Smirnov test. But, I can give you an important reason not to use it. It does not fit the tail of the distribution well. In this regard, a superior distribution fitting test is Anderson-Darling. As a second best, the Chi Square test is pretty good. Both are ... | Motivation for Kolmogorov distance between distributions | I can't give you additional reasons to use the Kolmogorov-Smirnov test. But, I can give you an important reason not to use it. It does not fit the tail of the distribution well. In this regard, a s | Motivation for Kolmogorov distance between distributions
I can't give you additional reasons to use the Kolmogorov-Smirnov test. But, I can give you an important reason not to use it. It does not fit the tail of the distribution well. In this regard, a superior distribution fitting test is Anderson-Darling. As a se... | Motivation for Kolmogorov distance between distributions
I can't give you additional reasons to use the Kolmogorov-Smirnov test. But, I can give you an important reason not to use it. It does not fit the tail of the distribution well. In this regard, a s |
5,123 | Motivation for Kolmogorov distance between distributions | From the point of view of functional analysis and measure theory the $L^p$ type distances do not define measurable sets on spaces of functions (infinite dimensional spaces loose countable additive in the metric ball coverings). This firmly disqualifies any sort of measurable interpretation of the distances of choices 2... | Motivation for Kolmogorov distance between distributions | From the point of view of functional analysis and measure theory the $L^p$ type distances do not define measurable sets on spaces of functions (infinite dimensional spaces loose countable additive in | Motivation for Kolmogorov distance between distributions
From the point of view of functional analysis and measure theory the $L^p$ type distances do not define measurable sets on spaces of functions (infinite dimensional spaces loose countable additive in the metric ball coverings). This firmly disqualifies any sort o... | Motivation for Kolmogorov distance between distributions
From the point of view of functional analysis and measure theory the $L^p$ type distances do not define measurable sets on spaces of functions (infinite dimensional spaces loose countable additive in |
5,124 | What is the distribution of the Euclidean distance between two normally distributed random variables? | The answer to this question can be found in the book Quadratic forms in random variables by Mathai and Provost (1992, Marcel Dekker, Inc.).
As the comments clarify, you need to find the distribution of $Q = z_1^2 + z_2^2$ where
$z = a - b$ follows a bivariate normal distribution with mean $\mu$ and covariance matrix ... | What is the distribution of the Euclidean distance between two normally distributed random variables | The answer to this question can be found in the book Quadratic forms in random variables by Mathai and Provost (1992, Marcel Dekker, Inc.).
As the comments clarify, you need to find the distribution | What is the distribution of the Euclidean distance between two normally distributed random variables?
The answer to this question can be found in the book Quadratic forms in random variables by Mathai and Provost (1992, Marcel Dekker, Inc.).
As the comments clarify, you need to find the distribution of $Q = z_1^2 + z_... | What is the distribution of the Euclidean distance between two normally distributed random variables
The answer to this question can be found in the book Quadratic forms in random variables by Mathai and Provost (1992, Marcel Dekker, Inc.).
As the comments clarify, you need to find the distribution |
5,125 | What is the distribution of the Euclidean distance between two normally distributed random variables? | First define the bivariate distribution of the difference vector, $\mu_d = \mu_1 - \mu_2$, which will be simply $\Sigma_d = \Sigma_1 + \Sigma_2$; this follows from the multivariate uncertainty propagation $\Sigma_d = \mathrm{J} \Sigma_{12} \mathrm{J}^T$, involving a block diagonal matrix $\Sigma_{12} = \begin{bmatrix}... | What is the distribution of the Euclidean distance between two normally distributed random variables | First define the bivariate distribution of the difference vector, $\mu_d = \mu_1 - \mu_2$, which will be simply $\Sigma_d = \Sigma_1 + \Sigma_2$; this follows from the multivariate uncertainty propag | What is the distribution of the Euclidean distance between two normally distributed random variables?
First define the bivariate distribution of the difference vector, $\mu_d = \mu_1 - \mu_2$, which will be simply $\Sigma_d = \Sigma_1 + \Sigma_2$; this follows from the multivariate uncertainty propagation $\Sigma_d = ... | What is the distribution of the Euclidean distance between two normally distributed random variables
First define the bivariate distribution of the difference vector, $\mu_d = \mu_1 - \mu_2$, which will be simply $\Sigma_d = \Sigma_1 + \Sigma_2$; this follows from the multivariate uncertainty propag |
5,126 | What is the distribution of the Euclidean distance between two normally distributed random variables? | Why not test it out?
set.seed(347)
x <- rnorm(10000)
y <- rnorm(10000)
x2 <- rnorm(10000)
y2 <- rnorm(10000)
qdf <- data.frame(x,y,x2,y2)
qdf <- data.frame(qdf,(x-x2)^2+(y-y2)^2)
colnames(qdf)[5] <- "euclid"
plot(c(x,y),c(x2,y2))
plot(qdf$euclid)
hist(qdf$euclid)
plot(dentist(qdf$euclid)) | What is the distribution of the Euclidean distance between two normally distributed random variables | Why not test it out?
set.seed(347)
x <- rnorm(10000)
y <- rnorm(10000)
x2 <- rnorm(10000)
y2 <- rnorm(10000)
qdf <- data.frame(x,y,x2,y2)
qdf <- data.frame(qdf,(x-x2)^2+(y-y2)^2)
colnames(qdf)[5] <- | What is the distribution of the Euclidean distance between two normally distributed random variables?
Why not test it out?
set.seed(347)
x <- rnorm(10000)
y <- rnorm(10000)
x2 <- rnorm(10000)
y2 <- rnorm(10000)
qdf <- data.frame(x,y,x2,y2)
qdf <- data.frame(qdf,(x-x2)^2+(y-y2)^2)
colnames(qdf)[5] <- "euclid"
plot(c... | What is the distribution of the Euclidean distance between two normally distributed random variables
Why not test it out?
set.seed(347)
x <- rnorm(10000)
y <- rnorm(10000)
x2 <- rnorm(10000)
y2 <- rnorm(10000)
qdf <- data.frame(x,y,x2,y2)
qdf <- data.frame(qdf,(x-x2)^2+(y-y2)^2)
colnames(qdf)[5] <- |
5,127 | Survival Analysis tools in Python [closed] | AFAIK, there aren't any survival analysis packages in python. As mbq comments above, the only route available would be to Rpy.
Even if there were a pure python package available, I would be very careful in using it, in particular I would look at:
How often does it get updated.
Does it have a large user base?
Does it ... | Survival Analysis tools in Python [closed] | AFAIK, there aren't any survival analysis packages in python. As mbq comments above, the only route available would be to Rpy.
Even if there were a pure python package available, I would be very care | Survival Analysis tools in Python [closed]
AFAIK, there aren't any survival analysis packages in python. As mbq comments above, the only route available would be to Rpy.
Even if there were a pure python package available, I would be very careful in using it, in particular I would look at:
How often does it get update... | Survival Analysis tools in Python [closed]
AFAIK, there aren't any survival analysis packages in python. As mbq comments above, the only route available would be to Rpy.
Even if there were a pure python package available, I would be very care |
5,128 | Survival Analysis tools in Python [closed] | Check out the lifelines¹ project for a simple and clean implementation of survival models in Python, including
Estimators of survival functions
Estimators of cumulative hazard curves
Cox's proportional hazard regression model
Cox's time varying regression model
parametric AFT models
Aalen's additive regression model
... | Survival Analysis tools in Python [closed] | Check out the lifelines¹ project for a simple and clean implementation of survival models in Python, including
Estimators of survival functions
Estimators of cumulative hazard curves
Cox's proportio | Survival Analysis tools in Python [closed]
Check out the lifelines¹ project for a simple and clean implementation of survival models in Python, including
Estimators of survival functions
Estimators of cumulative hazard curves
Cox's proportional hazard regression model
Cox's time varying regression model
parametric AF... | Survival Analysis tools in Python [closed]
Check out the lifelines¹ project for a simple and clean implementation of survival models in Python, including
Estimators of survival functions
Estimators of cumulative hazard curves
Cox's proportio |
5,129 | Survival Analysis tools in Python [closed] | python-asurv is an effort to port the asurv software for survival methods in astronomy. Might be worth keeping an eye on, but cgillespie is right about the things to watch out for: it has a long way to go and development doesn't seem active. (AFAICT only one method exists and even completed, the package may be lacki... | Survival Analysis tools in Python [closed] | python-asurv is an effort to port the asurv software for survival methods in astronomy. Might be worth keeping an eye on, but cgillespie is right about the things to watch out for: it has a long way | Survival Analysis tools in Python [closed]
python-asurv is an effort to port the asurv software for survival methods in astronomy. Might be worth keeping an eye on, but cgillespie is right about the things to watch out for: it has a long way to go and development doesn't seem active. (AFAICT only one method exists a... | Survival Analysis tools in Python [closed]
python-asurv is an effort to port the asurv software for survival methods in astronomy. Might be worth keeping an eye on, but cgillespie is right about the things to watch out for: it has a long way |
5,130 | Survival Analysis tools in Python [closed] | PyIMSL contains a handful of routines for survival analyses. It is Free As In Beer for noncommercial use, fully supported otherwise. From the documentation in the Statistics User Guide...
Computes Kaplan-Meier estimates of survival
probabilties: kaplanMeierEstimates()
Analyzes survival and reliability data using Cox’... | Survival Analysis tools in Python [closed] | PyIMSL contains a handful of routines for survival analyses. It is Free As In Beer for noncommercial use, fully supported otherwise. From the documentation in the Statistics User Guide...
Computes Kap | Survival Analysis tools in Python [closed]
PyIMSL contains a handful of routines for survival analyses. It is Free As In Beer for noncommercial use, fully supported otherwise. From the documentation in the Statistics User Guide...
Computes Kaplan-Meier estimates of survival
probabilties: kaplanMeierEstimates()
Analyz... | Survival Analysis tools in Python [closed]
PyIMSL contains a handful of routines for survival analyses. It is Free As In Beer for noncommercial use, fully supported otherwise. From the documentation in the Statistics User Guide...
Computes Kap |
5,131 | Survival Analysis tools in Python [closed] | You can now use R from within IPython, so you might want to look into using IPython with the R extension. | Survival Analysis tools in Python [closed] | You can now use R from within IPython, so you might want to look into using IPython with the R extension. | Survival Analysis tools in Python [closed]
You can now use R from within IPython, so you might want to look into using IPython with the R extension. | Survival Analysis tools in Python [closed]
You can now use R from within IPython, so you might want to look into using IPython with the R extension. |
5,132 | Survival Analysis tools in Python [closed] | I also want to mention scikit-survival, which provides models for survival analysis that can be easily combined with tools from scikit-learn (e.g. KFold cross-validation).
As of this writing, scikit-survival includes implementations of
Nelson-Aalen estimator of cumulative hazard function.
Kaplan-Meier estimator of sur... | Survival Analysis tools in Python [closed] | I also want to mention scikit-survival, which provides models for survival analysis that can be easily combined with tools from scikit-learn (e.g. KFold cross-validation).
As of this writing, scikit-s | Survival Analysis tools in Python [closed]
I also want to mention scikit-survival, which provides models for survival analysis that can be easily combined with tools from scikit-learn (e.g. KFold cross-validation).
As of this writing, scikit-survival includes implementations of
Nelson-Aalen estimator of cumulative haz... | Survival Analysis tools in Python [closed]
I also want to mention scikit-survival, which provides models for survival analysis that can be easily combined with tools from scikit-learn (e.g. KFold cross-validation).
As of this writing, scikit-s |
5,133 | Survival Analysis tools in Python [closed] | Apart from using R through RPy or equivalent there are a number of survival analysis routines in the statsmodels (formerly sicpy.statsmodel) python library. They are in the "sandbox" package though, meaning they aren't supposed to be ready for production right now.
E.g. you have the Cox model of proportional hazard cod... | Survival Analysis tools in Python [closed] | Apart from using R through RPy or equivalent there are a number of survival analysis routines in the statsmodels (formerly sicpy.statsmodel) python library. They are in the "sandbox" package though, m | Survival Analysis tools in Python [closed]
Apart from using R through RPy or equivalent there are a number of survival analysis routines in the statsmodels (formerly sicpy.statsmodel) python library. They are in the "sandbox" package though, meaning they aren't supposed to be ready for production right now.
E.g. you ha... | Survival Analysis tools in Python [closed]
Apart from using R through RPy or equivalent there are a number of survival analysis routines in the statsmodels (formerly sicpy.statsmodel) python library. They are in the "sandbox" package though, m |
5,134 | Why is median age a better statistic than mean age? | Statistics does not provide a good answer to this question, in my opinion. A mean can be relevant in mortality studies for example, but ages are not as easy to measure as you might think. Older people, illiterate people, and people in some third-world countries tend to round their ages to a multiple of 5 or 10, for i... | Why is median age a better statistic than mean age? | Statistics does not provide a good answer to this question, in my opinion. A mean can be relevant in mortality studies for example, but ages are not as easy to measure as you might think. Older peop | Why is median age a better statistic than mean age?
Statistics does not provide a good answer to this question, in my opinion. A mean can be relevant in mortality studies for example, but ages are not as easy to measure as you might think. Older people, illiterate people, and people in some third-world countries tend... | Why is median age a better statistic than mean age?
Statistics does not provide a good answer to this question, in my opinion. A mean can be relevant in mortality studies for example, but ages are not as easy to measure as you might think. Older peop |
5,135 | Why is median age a better statistic than mean age? | John gave you a good answer on the sister site.
One aspect he didn't mention explicitly is robustness: median as a measure of central location does better than the mean as it has a higher breakdown point (of 50%) whereas the mean has a very low one of 0 (see wikipedia for details).
Intuitively, it means that individ... | Why is median age a better statistic than mean age? | John gave you a good answer on the sister site.
One aspect he didn't mention explicitly is robustness: median as a measure of central location does better than the mean as it has a higher breakdown | Why is median age a better statistic than mean age?
John gave you a good answer on the sister site.
One aspect he didn't mention explicitly is robustness: median as a measure of central location does better than the mean as it has a higher breakdown point (of 50%) whereas the mean has a very low one of 0 (see wikiped... | Why is median age a better statistic than mean age?
John gave you a good answer on the sister site.
One aspect he didn't mention explicitly is robustness: median as a measure of central location does better than the mean as it has a higher breakdown |
5,136 | Why is median age a better statistic than mean age? | Here's my answer first posted on math.stackexchange:
Median is what many people actually have in mind when they say "mean." It's easier to interpret the median: half the population is above this age and half are below. Mean is a little more subtle.
People look for symmetry and sometimes impose symmetry when it isn't th... | Why is median age a better statistic than mean age? | Here's my answer first posted on math.stackexchange:
Median is what many people actually have in mind when they say "mean." It's easier to interpret the median: half the population is above this age a | Why is median age a better statistic than mean age?
Here's my answer first posted on math.stackexchange:
Median is what many people actually have in mind when they say "mean." It's easier to interpret the median: half the population is above this age and half are below. Mean is a little more subtle.
People look for sym... | Why is median age a better statistic than mean age?
Here's my answer first posted on math.stackexchange:
Median is what many people actually have in mind when they say "mean." It's easier to interpret the median: half the population is above this age a |
5,137 | Why is median age a better statistic than mean age? | Why is an axe better than a hatchet?
That's similar to your question. They just mean and do different things. If one is talking about medians then the story they are trying to convey, the model they are trying to apply to the data, is different than one with means. | Why is median age a better statistic than mean age? | Why is an axe better than a hatchet?
That's similar to your question. They just mean and do different things. If one is talking about medians then the story they are trying to convey, the model they | Why is median age a better statistic than mean age?
Why is an axe better than a hatchet?
That's similar to your question. They just mean and do different things. If one is talking about medians then the story they are trying to convey, the model they are trying to apply to the data, is different than one with means. | Why is median age a better statistic than mean age?
Why is an axe better than a hatchet?
That's similar to your question. They just mean and do different things. If one is talking about medians then the story they are trying to convey, the model they |
5,138 | Why is median age a better statistic than mean age? | For a concrete example, consider the mean ages for the Congo (DRC) and Japan. One is devastated by civil war, the other is well developed with an ageing population. The mean isn't terribly interesting for an apples to apples comparison. On the other hand, the median can be informative as a measure of central tendenc... | Why is median age a better statistic than mean age? | For a concrete example, consider the mean ages for the Congo (DRC) and Japan. One is devastated by civil war, the other is well developed with an ageing population. The mean isn't terribly interesti | Why is median age a better statistic than mean age?
For a concrete example, consider the mean ages for the Congo (DRC) and Japan. One is devastated by civil war, the other is well developed with an ageing population. The mean isn't terribly interesting for an apples to apples comparison. On the other hand, the media... | Why is median age a better statistic than mean age?
For a concrete example, consider the mean ages for the Congo (DRC) and Japan. One is devastated by civil war, the other is well developed with an ageing population. The mean isn't terribly interesti |
5,139 | Why is median age a better statistic than mean age? | Public Health Data repositories in the United States are moving toward an AGE in years format of five year increments due to the impact of the HIPAA regulations regarding the intentional blinding and masking of data for personal privacy reasons.
Given this challenge to what was had been in the past (prior to HIPAA) a f... | Why is median age a better statistic than mean age? | Public Health Data repositories in the United States are moving toward an AGE in years format of five year increments due to the impact of the HIPAA regulations regarding the intentional blinding and | Why is median age a better statistic than mean age?
Public Health Data repositories in the United States are moving toward an AGE in years format of five year increments due to the impact of the HIPAA regulations regarding the intentional blinding and masking of data for personal privacy reasons.
Given this challenge t... | Why is median age a better statistic than mean age?
Public Health Data repositories in the United States are moving toward an AGE in years format of five year increments due to the impact of the HIPAA regulations regarding the intentional blinding and |
5,140 | Why is median age a better statistic than mean age? | I don't think there is a good descriptive reason for choosing median over mean for age distributions. There is one of practicality when comparing reported data.
Many countries report their population in 5-year age intervals with the top band open-ended. This causes some difficulties calculating the mean from the in... | Why is median age a better statistic than mean age? | I don't think there is a good descriptive reason for choosing median over mean for age distributions. There is one of practicality when comparing reported data.
Many countries report their populati | Why is median age a better statistic than mean age?
I don't think there is a good descriptive reason for choosing median over mean for age distributions. There is one of practicality when comparing reported data.
Many countries report their population in 5-year age intervals with the top band open-ended. This cause... | Why is median age a better statistic than mean age?
I don't think there is a good descriptive reason for choosing median over mean for age distributions. There is one of practicality when comparing reported data.
Many countries report their populati |
5,141 | Why is median age a better statistic than mean age? | To give a useful answer the original question requires we know the question behind the question. In other words, "Why do you want some sort of summary statistic comparing the age distribution of different countries?" The median might be the most useful for some questions. The mean might be the most useful for others... | Why is median age a better statistic than mean age? | To give a useful answer the original question requires we know the question behind the question. In other words, "Why do you want some sort of summary statistic comparing the age distribution of diff | Why is median age a better statistic than mean age?
To give a useful answer the original question requires we know the question behind the question. In other words, "Why do you want some sort of summary statistic comparing the age distribution of different countries?" The median might be the most useful for some ques... | Why is median age a better statistic than mean age?
To give a useful answer the original question requires we know the question behind the question. In other words, "Why do you want some sort of summary statistic comparing the age distribution of diff |
5,142 | Why is median age a better statistic than mean age? | You're getting good answers here, but let me just add my 2 cents. I work in pharmacometrics, which deals in things like blood volume, elimination rate, base level of drug effect, maximum drug effect, and parameters like that.
We make a distinction between variables that can take on any value plus or minus, versus value... | Why is median age a better statistic than mean age? | You're getting good answers here, but let me just add my 2 cents. I work in pharmacometrics, which deals in things like blood volume, elimination rate, base level of drug effect, maximum drug effect, | Why is median age a better statistic than mean age?
You're getting good answers here, but let me just add my 2 cents. I work in pharmacometrics, which deals in things like blood volume, elimination rate, base level of drug effect, maximum drug effect, and parameters like that.
We make a distinction between variables th... | Why is median age a better statistic than mean age?
You're getting good answers here, but let me just add my 2 cents. I work in pharmacometrics, which deals in things like blood volume, elimination rate, base level of drug effect, maximum drug effect, |
5,143 | Why is median age a better statistic than mean age? | I've been taught that median should be used with range and mean with standard deviation. When we talk about age, I think range is a more relevant way to express the spread, and easier to understand for most. For example in a study population, the mean age was 53 (SD 5.4) or the median age was 48 (range 23-77). For that... | Why is median age a better statistic than mean age? | I've been taught that median should be used with range and mean with standard deviation. When we talk about age, I think range is a more relevant way to express the spread, and easier to understand fo | Why is median age a better statistic than mean age?
I've been taught that median should be used with range and mean with standard deviation. When we talk about age, I think range is a more relevant way to express the spread, and easier to understand for most. For example in a study population, the mean age was 53 (SD 5... | Why is median age a better statistic than mean age?
I've been taught that median should be used with range and mean with standard deviation. When we talk about age, I think range is a more relevant way to express the spread, and easier to understand fo |
5,144 | Why is median age a better statistic than mean age? | John's answer on math.stackexchange can be viewed as the following:
When you have a skewed distribution the median may be a better summary statistic than the mean.
Note that when he says that there are more infants than adults he essentially is suggesting that the age distribution is a skewed distribution. | Why is median age a better statistic than mean age? | John's answer on math.stackexchange can be viewed as the following:
When you have a skewed distribution the median may be a better summary statistic than the mean.
Note that when he says that there | Why is median age a better statistic than mean age?
John's answer on math.stackexchange can be viewed as the following:
When you have a skewed distribution the median may be a better summary statistic than the mean.
Note that when he says that there are more infants than adults he essentially is suggesting that the ... | Why is median age a better statistic than mean age?
John's answer on math.stackexchange can be viewed as the following:
When you have a skewed distribution the median may be a better summary statistic than the mean.
Note that when he says that there |
5,145 | Why is median age a better statistic than mean age? | I hope the mean age would be influenced by the outliers in your data set while this is not the case for a median age. Let us take an example of a data set vaccinated patients: 1,2,3,4,4,5,6,6,6,78 years
the mean would be:11.5 and median age of these patients is 4.5. this mean age has been affected by the outlier 78.
m... | Why is median age a better statistic than mean age? | I hope the mean age would be influenced by the outliers in your data set while this is not the case for a median age. Let us take an example of a data set vaccinated patients: 1,2,3,4,4,5,6,6,6,78 yea | Why is median age a better statistic than mean age?
I hope the mean age would be influenced by the outliers in your data set while this is not the case for a median age. Let us take an example of a data set vaccinated patients: 1,2,3,4,4,5,6,6,6,78 years
the mean would be:11.5 and median age of these patients is 4.5. t... | Why is median age a better statistic than mean age?
I hope the mean age would be influenced by the outliers in your data set while this is not the case for a median age. Let us take an example of a data set vaccinated patients: 1,2,3,4,4,5,6,6,6,78 yea |
5,146 | Why is median age a better statistic than mean age? | Certainly in the case of demographic analysis, I would think that both the mean and median would be valuable, especially in combination with each other, if you are looking for outliers or areas of growth that may be mislabeled by the median alone. In communities with a large retirement community or in an area with a b... | Why is median age a better statistic than mean age? | Certainly in the case of demographic analysis, I would think that both the mean and median would be valuable, especially in combination with each other, if you are looking for outliers or areas of gro | Why is median age a better statistic than mean age?
Certainly in the case of demographic analysis, I would think that both the mean and median would be valuable, especially in combination with each other, if you are looking for outliers or areas of growth that may be mislabeled by the median alone. In communities with... | Why is median age a better statistic than mean age?
Certainly in the case of demographic analysis, I would think that both the mean and median would be valuable, especially in combination with each other, if you are looking for outliers or areas of gro |
5,147 | Why is median age a better statistic than mean age? | SHORT ANSWER: Median age is not simply better than mean age; however, you may have noticed that more people use it. So a better question might be: "Why would more demographers use median age than mean age?"
A statistic, as a vocabulary term, has its origins in the state (nominally a legal entity) attempting to unders... | Why is median age a better statistic than mean age? | SHORT ANSWER: Median age is not simply better than mean age; however, you may have noticed that more people use it. So a better question might be: "Why would more demographers use median age than me | Why is median age a better statistic than mean age?
SHORT ANSWER: Median age is not simply better than mean age; however, you may have noticed that more people use it. So a better question might be: "Why would more demographers use median age than mean age?"
A statistic, as a vocabulary term, has its origins in the s... | Why is median age a better statistic than mean age?
SHORT ANSWER: Median age is not simply better than mean age; however, you may have noticed that more people use it. So a better question might be: "Why would more demographers use median age than me |
5,148 | How to interpret coefficients from a polynomial model fit? | My detailed answer is below, but the general (i.e. real) answer to this kind of question is: 1) experiment, mess around, look at the data, you can't break the computer no matter what you do, so ... experiment; or 2) read the documentation.
Here is some R code which replicates the problem identified in this question, mo... | How to interpret coefficients from a polynomial model fit? | My detailed answer is below, but the general (i.e. real) answer to this kind of question is: 1) experiment, mess around, look at the data, you can't break the computer no matter what you do, so ... ex | How to interpret coefficients from a polynomial model fit?
My detailed answer is below, but the general (i.e. real) answer to this kind of question is: 1) experiment, mess around, look at the data, you can't break the computer no matter what you do, so ... experiment; or 2) read the documentation.
Here is some R code w... | How to interpret coefficients from a polynomial model fit?
My detailed answer is below, but the general (i.e. real) answer to this kind of question is: 1) experiment, mess around, look at the data, you can't break the computer no matter what you do, so ... ex |
5,149 | How to interpret coefficients from a polynomial model fit? | If you just want a nudge in the right direction without quite so much judgement: poly() creates orthogonal (not correlated) polynomials, as opposed to I(), which completely ignores correlation between the resultant polynomials. Correlation between predictor variables can be a problem in linear models (see here for more... | How to interpret coefficients from a polynomial model fit? | If you just want a nudge in the right direction without quite so much judgement: poly() creates orthogonal (not correlated) polynomials, as opposed to I(), which completely ignores correlation between | How to interpret coefficients from a polynomial model fit?
If you just want a nudge in the right direction without quite so much judgement: poly() creates orthogonal (not correlated) polynomials, as opposed to I(), which completely ignores correlation between the resultant polynomials. Correlation between predictor var... | How to interpret coefficients from a polynomial model fit?
If you just want a nudge in the right direction without quite so much judgement: poly() creates orthogonal (not correlated) polynomials, as opposed to I(), which completely ignores correlation between |
5,150 | How to interpret coefficients from a polynomial model fit? | There's an interesting approach to interpretation of polynomial regression by Stimson et al. (1978). It involves rewriting
$Y = \beta_{0} + \beta_{1} X + \beta_{2} X^{2} + u$
as
$Y = m + \beta_{2} \left( f - X \right)^{2} + u$
where $m = \beta_{0} - \left. \beta_{1}^{2} \right/ 4 \beta_{2}$ is the minimum or maximum (d... | How to interpret coefficients from a polynomial model fit? | There's an interesting approach to interpretation of polynomial regression by Stimson et al. (1978). It involves rewriting
$Y = \beta_{0} + \beta_{1} X + \beta_{2} X^{2} + u$
as
$Y = m + \beta_{2} \le | How to interpret coefficients from a polynomial model fit?
There's an interesting approach to interpretation of polynomial regression by Stimson et al. (1978). It involves rewriting
$Y = \beta_{0} + \beta_{1} X + \beta_{2} X^{2} + u$
as
$Y = m + \beta_{2} \left( f - X \right)^{2} + u$
where $m = \beta_{0} - \left. \bet... | How to interpret coefficients from a polynomial model fit?
There's an interesting approach to interpretation of polynomial regression by Stimson et al. (1978). It involves rewriting
$Y = \beta_{0} + \beta_{1} X + \beta_{2} X^{2} + u$
as
$Y = m + \beta_{2} \le |
5,151 | How to interpret coefficients from a polynomial model fit? | 'poly' performs Graham-Schmidt ortho-normalization on the polynomials 1, x, x^2, ..., x^deg
For example this function does the same thing as 'poly' without returning 'coef' attributes of course.
MyPoly <-
function(x, deg)
{
n <- length(x)
ans <- NULL
for(k in 1:deg)
{
v <- x^k
cmps <- r... | How to interpret coefficients from a polynomial model fit? | 'poly' performs Graham-Schmidt ortho-normalization on the polynomials 1, x, x^2, ..., x^deg
For example this function does the same thing as 'poly' without returning 'coef' attributes of course.
MyPol | How to interpret coefficients from a polynomial model fit?
'poly' performs Graham-Schmidt ortho-normalization on the polynomials 1, x, x^2, ..., x^deg
For example this function does the same thing as 'poly' without returning 'coef' attributes of course.
MyPoly <-
function(x, deg)
{
n <- length(x)
ans <- NULL
... | How to interpret coefficients from a polynomial model fit?
'poly' performs Graham-Schmidt ortho-normalization on the polynomials 1, x, x^2, ..., x^deg
For example this function does the same thing as 'poly' without returning 'coef' attributes of course.
MyPol |
5,152 | What is your favorite data visualization blog? | FlowingData | Data Visualization, Infographics, and Statistics | What is your favorite data visualization blog? | FlowingData | Data Visualization, Infographics, and Statistics | What is your favorite data visualization blog?
FlowingData | Data Visualization, Infographics, and Statistics | What is your favorite data visualization blog?
FlowingData | Data Visualization, Infographics, and Statistics |
5,153 | What is your favorite data visualization blog? | Information Is Beautiful | Ideas, issues, knowledge, data - visualized! | What is your favorite data visualization blog? | Information Is Beautiful | Ideas, issues, knowledge, data - visualized! | What is your favorite data visualization blog?
Information Is Beautiful | Ideas, issues, knowledge, data - visualized! | What is your favorite data visualization blog?
Information Is Beautiful | Ideas, issues, knowledge, data - visualized! |
5,154 | What is your favorite data visualization blog? | information aesthetics - Data Visualization & Information Design | What is your favorite data visualization blog? | information aesthetics - Data Visualization & Information Design | What is your favorite data visualization blog?
information aesthetics - Data Visualization & Information Design | What is your favorite data visualization blog?
information aesthetics - Data Visualization & Information Design |
5,155 | What is your favorite data visualization blog? | Junk Charts is always interesting and thought-provoking, usually providing both criticism of visualizations in the popular media and suggestions for improvements. | What is your favorite data visualization blog? | Junk Charts is always interesting and thought-provoking, usually providing both criticism of visualizations in the popular media and suggestions for improvements. | What is your favorite data visualization blog?
Junk Charts is always interesting and thought-provoking, usually providing both criticism of visualizations in the popular media and suggestions for improvements. | What is your favorite data visualization blog?
Junk Charts is always interesting and thought-provoking, usually providing both criticism of visualizations in the popular media and suggestions for improvements. |
5,156 | What is your favorite data visualization blog? | It's not a blog, but Edward Tufte has an interesting forum on information design including data visualization. | What is your favorite data visualization blog? | It's not a blog, but Edward Tufte has an interesting forum on information design including data visualization. | What is your favorite data visualization blog?
It's not a blog, but Edward Tufte has an interesting forum on information design including data visualization. | What is your favorite data visualization blog?
It's not a blog, but Edward Tufte has an interesting forum on information design including data visualization. |
5,157 | What is your favorite data visualization blog? | EagerEyes by Robert Kosara (~5 posts a month). This blog includes tutorials and discussion articles plus it has a great home page with lots of links to useful information. | What is your favorite data visualization blog? | EagerEyes by Robert Kosara (~5 posts a month). This blog includes tutorials and discussion articles plus it has a great home page with lots of links to useful information. | What is your favorite data visualization blog?
EagerEyes by Robert Kosara (~5 posts a month). This blog includes tutorials and discussion articles plus it has a great home page with lots of links to useful information. | What is your favorite data visualization blog?
EagerEyes by Robert Kosara (~5 posts a month). This blog includes tutorials and discussion articles plus it has a great home page with lots of links to useful information. |
5,158 | What is your favorite data visualization blog? | Chart Porn
I find the blog name pretty humorous. Great dataviz. | What is your favorite data visualization blog? | Chart Porn
I find the blog name pretty humorous. Great dataviz. | What is your favorite data visualization blog?
Chart Porn
I find the blog name pretty humorous. Great dataviz. | What is your favorite data visualization blog?
Chart Porn
I find the blog name pretty humorous. Great dataviz. |
5,159 | What is your favorite data visualization blog? | Andrew Gelman doesn't limit himself to visualization, but he comments on it frequently.
Statistical Modeling, Causal Inference, and Social Science | What is your favorite data visualization blog? | Andrew Gelman doesn't limit himself to visualization, but he comments on it frequently.
Statistical Modeling, Causal Inference, and Social Science | What is your favorite data visualization blog?
Andrew Gelman doesn't limit himself to visualization, but he comments on it frequently.
Statistical Modeling, Causal Inference, and Social Science | What is your favorite data visualization blog?
Andrew Gelman doesn't limit himself to visualization, but he comments on it frequently.
Statistical Modeling, Causal Inference, and Social Science |
5,160 | What is your favorite data visualization blog? | https://web.archive.org/web/20120102041205/https://datavisualization.ch/
by Benjamin Wiederkehr and others (~15 links a month). If you want heaps of links you can subscribe to their twitter feed twitter slash datavis (~5 links a day)
ahhh... i'm a new member and so i can only post one link per post. | What is your favorite data visualization blog? | https://web.archive.org/web/20120102041205/https://datavisualization.ch/
by Benjamin Wiederkehr and others (~15 links a month). If you want heaps of links you can subscribe to their twitter feed twitt | What is your favorite data visualization blog?
https://web.archive.org/web/20120102041205/https://datavisualization.ch/
by Benjamin Wiederkehr and others (~15 links a month). If you want heaps of links you can subscribe to their twitter feed twitter slash datavis (~5 links a day)
ahhh... i'm a new member and so i can o... | What is your favorite data visualization blog?
https://web.archive.org/web/20120102041205/https://datavisualization.ch/
by Benjamin Wiederkehr and others (~15 links a month). If you want heaps of links you can subscribe to their twitter feed twitt |
5,161 | What is your favorite data visualization blog? | Check out the data visualization blog from Visual.ly. | What is your favorite data visualization blog? | Check out the data visualization blog from Visual.ly. | What is your favorite data visualization blog?
Check out the data visualization blog from Visual.ly. | What is your favorite data visualization blog?
Check out the data visualization blog from Visual.ly. |
5,162 | What is your favorite data visualization blog? | I can't pick just one :)
Check out this great blog post by flowingdata: 37 Data-ish blogs you should know about | What is your favorite data visualization blog? | I can't pick just one :)
Check out this great blog post by flowingdata: 37 Data-ish blogs you should know about | What is your favorite data visualization blog?
I can't pick just one :)
Check out this great blog post by flowingdata: 37 Data-ish blogs you should know about | What is your favorite data visualization blog?
I can't pick just one :)
Check out this great blog post by flowingdata: 37 Data-ish blogs you should know about |
5,163 | What is your favorite data visualization blog? | Light-hearted: Indexed
Also, see older visualizations from the same creator at the original Indexed Blog. | What is your favorite data visualization blog? | Light-hearted: Indexed
Also, see older visualizations from the same creator at the original Indexed Blog. | What is your favorite data visualization blog?
Light-hearted: Indexed
Also, see older visualizations from the same creator at the original Indexed Blog. | What is your favorite data visualization blog?
Light-hearted: Indexed
Also, see older visualizations from the same creator at the original Indexed Blog. |
5,164 | What is your favorite data visualization blog? | I see all my favorite blogs have been listed. So I'll give you this one:
I Love Charts
It's a bit light hearted. | What is your favorite data visualization blog? | I see all my favorite blogs have been listed. So I'll give you this one:
I Love Charts
It's a bit light hearted. | What is your favorite data visualization blog?
I see all my favorite blogs have been listed. So I'll give you this one:
I Love Charts
It's a bit light hearted. | What is your favorite data visualization blog?
I see all my favorite blogs have been listed. So I'll give you this one:
I Love Charts
It's a bit light hearted. |
5,165 | What is your favorite data visualization blog? | Dataspora, a data science blog. | What is your favorite data visualization blog? | Dataspora, a data science blog. | What is your favorite data visualization blog?
Dataspora, a data science blog. | What is your favorite data visualization blog?
Dataspora, a data science blog. |
5,166 | What is your favorite data visualization blog? | We Love Datavis, a data visualization tumblog. | What is your favorite data visualization blog? | We Love Datavis, a data visualization tumblog. | What is your favorite data visualization blog?
We Love Datavis, a data visualization tumblog. | What is your favorite data visualization blog?
We Love Datavis, a data visualization tumblog. |
5,167 | What is your favorite data visualization blog? | I only recent became aware of the chartsnthings blog, which is about (direct quote from site);
A (personal) blog of data sketches from the New York Times Graphics Department.
I believe I follow most of the blogs listed here so far in my feed reader, and this one is a bit different. It is more of a behind the scenes l... | What is your favorite data visualization blog? | I only recent became aware of the chartsnthings blog, which is about (direct quote from site);
A (personal) blog of data sketches from the New York Times Graphics Department.
I believe I follow most | What is your favorite data visualization blog?
I only recent became aware of the chartsnthings blog, which is about (direct quote from site);
A (personal) blog of data sketches from the New York Times Graphics Department.
I believe I follow most of the blogs listed here so far in my feed reader, and this one is a bit... | What is your favorite data visualization blog?
I only recent became aware of the chartsnthings blog, which is about (direct quote from site);
A (personal) blog of data sketches from the New York Times Graphics Department.
I believe I follow most |
5,168 | What is your favorite data visualization blog? | A daily dataviz feed for/by data nerds.
The community is closed but you can request via twitter to have your account enabled. | What is your favorite data visualization blog? | A daily dataviz feed for/by data nerds.
The community is closed but you can request via twitter to have your account enabled. | What is your favorite data visualization blog?
A daily dataviz feed for/by data nerds.
The community is closed but you can request via twitter to have your account enabled. | What is your favorite data visualization blog?
A daily dataviz feed for/by data nerds.
The community is closed but you can request via twitter to have your account enabled. |
5,169 | What is the difference between a loss function and an error function? | In the context of a predictive or inferential model, the term "error" generally refers to the deviation from an actual value by a prediction or expectation of that value. It is determined entirely by the prediction mechanism and the actual behaviour of the quantities under observation. The "loss" is a quantified meas... | What is the difference between a loss function and an error function? | In the context of a predictive or inferential model, the term "error" generally refers to the deviation from an actual value by a prediction or expectation of that value. It is determined entirely by | What is the difference between a loss function and an error function?
In the context of a predictive or inferential model, the term "error" generally refers to the deviation from an actual value by a prediction or expectation of that value. It is determined entirely by the prediction mechanism and the actual behaviour... | What is the difference between a loss function and an error function?
In the context of a predictive or inferential model, the term "error" generally refers to the deviation from an actual value by a prediction or expectation of that value. It is determined entirely by |
5,170 | Difference between forecast and prediction? | Your distinction sounds reasonable. There was a similar discussion at the analyticbridge website, where several people make various distinctions but none of them seem to agree.
The closest one was, "Forecasting would be a subset of prediction. Any time you predict into the future it is a forecast. All forecasts are pre... | Difference between forecast and prediction? | Your distinction sounds reasonable. There was a similar discussion at the analyticbridge website, where several people make various distinctions but none of them seem to agree.
The closest one was, "F | Difference between forecast and prediction?
Your distinction sounds reasonable. There was a similar discussion at the analyticbridge website, where several people make various distinctions but none of them seem to agree.
The closest one was, "Forecasting would be a subset of prediction. Any time you predict into the fu... | Difference between forecast and prediction?
Your distinction sounds reasonable. There was a similar discussion at the analyticbridge website, where several people make various distinctions but none of them seem to agree.
The closest one was, "F |
5,171 | Difference between forecast and prediction? | There is also an etymological difference noted by Nate Silver in The Signal and the Noise:
(...) an ancient idea of
prediction—associating it with fatalism, fortune-telling, and
superstition—it also introduced a more modern and altogether more
radical idea: that we might interpret these signs so as to gain an
... | Difference between forecast and prediction? | There is also an etymological difference noted by Nate Silver in The Signal and the Noise:
(...) an ancient idea of
prediction—associating it with fatalism, fortune-telling, and
superstition—it a | Difference between forecast and prediction?
There is also an etymological difference noted by Nate Silver in The Signal and the Noise:
(...) an ancient idea of
prediction—associating it with fatalism, fortune-telling, and
superstition—it also introduced a more modern and altogether more
radical idea: that we mig... | Difference between forecast and prediction?
There is also an etymological difference noted by Nate Silver in The Signal and the Noise:
(...) an ancient idea of
prediction—associating it with fatalism, fortune-telling, and
superstition—it a |
5,172 | Difference between forecast and prediction? | There is only one difference between these two in time series. Forecasting pertains to out of sample observations, whereas prediction pertains to in sample observations. Predicted values (and by that I mean OLS predicted values) are calculated for observations in the sample used to estimate the regression. However, for... | Difference between forecast and prediction? | There is only one difference between these two in time series. Forecasting pertains to out of sample observations, whereas prediction pertains to in sample observations. Predicted values (and by that | Difference between forecast and prediction?
There is only one difference between these two in time series. Forecasting pertains to out of sample observations, whereas prediction pertains to in sample observations. Predicted values (and by that I mean OLS predicted values) are calculated for observations in the sample u... | Difference between forecast and prediction?
There is only one difference between these two in time series. Forecasting pertains to out of sample observations, whereas prediction pertains to in sample observations. Predicted values (and by that |
5,173 | Difference between forecast and prediction? | [This was meant as a comment to Tim's answer, which I liked; but it's too long to be posted as a comment.]
There's a comment by Rasch along the lines of Tim's answer:
First a terminological remark. The "prediction" is suggestive of the statistician as a magician who can tell the future. Economists have an expression t... | Difference between forecast and prediction? | [This was meant as a comment to Tim's answer, which I liked; but it's too long to be posted as a comment.]
There's a comment by Rasch along the lines of Tim's answer:
First a terminological remark. T | Difference between forecast and prediction?
[This was meant as a comment to Tim's answer, which I liked; but it's too long to be posted as a comment.]
There's a comment by Rasch along the lines of Tim's answer:
First a terminological remark. The "prediction" is suggestive of the statistician as a magician who can tell... | Difference between forecast and prediction?
[This was meant as a comment to Tim's answer, which I liked; but it's too long to be posted as a comment.]
There's a comment by Rasch along the lines of Tim's answer:
First a terminological remark. T |
5,174 | Is Amazon's "average rating" misleading? | Benefits of using the mean to summarise central tendency of a 5 point rating
As @gung mentioned I think there are often very good reasons for taking the mean of a five-point item as an index of central tendency. I have already outlined these reasons here.
To paraphrase:
the mean is easy to calculate
The mean is intui... | Is Amazon's "average rating" misleading? | Benefits of using the mean to summarise central tendency of a 5 point rating
As @gung mentioned I think there are often very good reasons for taking the mean of a five-point item as an index of centra | Is Amazon's "average rating" misleading?
Benefits of using the mean to summarise central tendency of a 5 point rating
As @gung mentioned I think there are often very good reasons for taking the mean of a five-point item as an index of central tendency. I have already outlined these reasons here.
To paraphrase:
the me... | Is Amazon's "average rating" misleading?
Benefits of using the mean to summarise central tendency of a 5 point rating
As @gung mentioned I think there are often very good reasons for taking the mean of a five-point item as an index of centra |
5,175 | Is Amazon's "average rating" misleading? | Everyone has good opinions on this. I don't really think I can add very much more. However, I will post this: | Is Amazon's "average rating" misleading? | Everyone has good opinions on this. I don't really think I can add very much more. However, I will post this: | Is Amazon's "average rating" misleading?
Everyone has good opinions on this. I don't really think I can add very much more. However, I will post this: | Is Amazon's "average rating" misleading?
Everyone has good opinions on this. I don't really think I can add very much more. However, I will post this: |
5,176 | Is Amazon's "average rating" misleading? | To be somewhat technical here, those ratings aren't actually a Likert scale; they're just ordinal ratings. Now, having said that, your point is essentially correct. However, I often think too much is made of this issue. One thing to note is that it is typically understood that the average of a number of ordinal item... | Is Amazon's "average rating" misleading? | To be somewhat technical here, those ratings aren't actually a Likert scale; they're just ordinal ratings. Now, having said that, your point is essentially correct. However, I often think too much i | Is Amazon's "average rating" misleading?
To be somewhat technical here, those ratings aren't actually a Likert scale; they're just ordinal ratings. Now, having said that, your point is essentially correct. However, I often think too much is made of this issue. One thing to note is that it is typically understood tha... | Is Amazon's "average rating" misleading?
To be somewhat technical here, those ratings aren't actually a Likert scale; they're just ordinal ratings. Now, having said that, your point is essentially correct. However, I often think too much i |
5,177 | Is Amazon's "average rating" misleading? | In my experience, the mean of rating-scale data is often the most closely correlated with the level of real-world metrics we try to associate with the rating scale. We have found a lot of linear relationships, and the average is therefore one of the better ways to summarize the data. That being said, as Jeromy pointed ... | Is Amazon's "average rating" misleading? | In my experience, the mean of rating-scale data is often the most closely correlated with the level of real-world metrics we try to associate with the rating scale. We have found a lot of linear relat | Is Amazon's "average rating" misleading?
In my experience, the mean of rating-scale data is often the most closely correlated with the level of real-world metrics we try to associate with the rating scale. We have found a lot of linear relationships, and the average is therefore one of the better ways to summarize the ... | Is Amazon's "average rating" misleading?
In my experience, the mean of rating-scale data is often the most closely correlated with the level of real-world metrics we try to associate with the rating scale. We have found a lot of linear relat |
5,178 | Is Amazon's "average rating" misleading? | Amazon ratings are misleading due to companies gaming the system. When customers are offered rebates and free merchandise in return for 5-star reviews, the "statistics" of what the ratings number is or means become moot. | Is Amazon's "average rating" misleading? | Amazon ratings are misleading due to companies gaming the system. When customers are offered rebates and free merchandise in return for 5-star reviews, the "statistics" of what the ratings number is o | Is Amazon's "average rating" misleading?
Amazon ratings are misleading due to companies gaming the system. When customers are offered rebates and free merchandise in return for 5-star reviews, the "statistics" of what the ratings number is or means become moot. | Is Amazon's "average rating" misleading?
Amazon ratings are misleading due to companies gaming the system. When customers are offered rebates and free merchandise in return for 5-star reviews, the "statistics" of what the ratings number is o |
5,179 | Is Amazon's "average rating" misleading? | You make a good point. Taking the mean of ordinal numbers is somewhat misleading. Any summary of several rankings would suffer from the fact that my subjective 3 may really equate to your 4. So combining different individual scores is probably the biggest problem. Interpreting the average of a 3 and a 4 as 3.5 is not... | Is Amazon's "average rating" misleading? | You make a good point. Taking the mean of ordinal numbers is somewhat misleading. Any summary of several rankings would suffer from the fact that my subjective 3 may really equate to your 4. So comb | Is Amazon's "average rating" misleading?
You make a good point. Taking the mean of ordinal numbers is somewhat misleading. Any summary of several rankings would suffer from the fact that my subjective 3 may really equate to your 4. So combining different individual scores is probably the biggest problem. Interpreting... | Is Amazon's "average rating" misleading?
You make a good point. Taking the mean of ordinal numbers is somewhat misleading. Any summary of several rankings would suffer from the fact that my subjective 3 may really equate to your 4. So comb |
5,180 | What are the factors that cause the posterior distributions to be intractable? | I had the opportunity to ask David Blei this question in person, and he told me that intractability in this context means one of two things:
The integral has no closed-form solution. This might be when we're modeling some complex, real-world data and we simply cannot write the distribution down on paper.
The integral ... | What are the factors that cause the posterior distributions to be intractable? | I had the opportunity to ask David Blei this question in person, and he told me that intractability in this context means one of two things:
The integral has no closed-form solution. This might be wh | What are the factors that cause the posterior distributions to be intractable?
I had the opportunity to ask David Blei this question in person, and he told me that intractability in this context means one of two things:
The integral has no closed-form solution. This might be when we're modeling some complex, real-worl... | What are the factors that cause the posterior distributions to be intractable?
I had the opportunity to ask David Blei this question in person, and he told me that intractability in this context means one of two things:
The integral has no closed-form solution. This might be wh |
5,181 | What are the factors that cause the posterior distributions to be intractable? | The issue is mainly that Bayesian analysis involves integrals, often multidimensional ones in realistic problems, and it's these integrals that are typically intractable analytically (except in a few special cases requiring the use of conjugate priors).
By contrast, much of non-Bayesian statistics is based on maximum ... | What are the factors that cause the posterior distributions to be intractable? | The issue is mainly that Bayesian analysis involves integrals, often multidimensional ones in realistic problems, and it's these integrals that are typically intractable analytically (except in a few | What are the factors that cause the posterior distributions to be intractable?
The issue is mainly that Bayesian analysis involves integrals, often multidimensional ones in realistic problems, and it's these integrals that are typically intractable analytically (except in a few special cases requiring the use of conjug... | What are the factors that cause the posterior distributions to be intractable?
The issue is mainly that Bayesian analysis involves integrals, often multidimensional ones in realistic problems, and it's these integrals that are typically intractable analytically (except in a few |
5,182 | What are the factors that cause the posterior distributions to be intractable? | Tractability is related to closed-formness of an expression.
Problems are said to be tractable if they can be solved in terms of a
closed-form expression.
In mathematics, a closed-form expression is a mathematical expression
that can be evaluated in a finite number of operations. It may contain
constants, varia... | What are the factors that cause the posterior distributions to be intractable? | Tractability is related to closed-formness of an expression.
Problems are said to be tractable if they can be solved in terms of a
closed-form expression.
In mathematics, a closed-form expression | What are the factors that cause the posterior distributions to be intractable?
Tractability is related to closed-formness of an expression.
Problems are said to be tractable if they can be solved in terms of a
closed-form expression.
In mathematics, a closed-form expression is a mathematical expression
that can b... | What are the factors that cause the posterior distributions to be intractable?
Tractability is related to closed-formness of an expression.
Problems are said to be tractable if they can be solved in terms of a
closed-form expression.
In mathematics, a closed-form expression |
5,183 | What are the factors that cause the posterior distributions to be intractable? | Actually, there are a range of possibilities:
a closed form expression is available for the posterior (example:
$Y\sim \text{Bin}(n,\pi)$, prior for $\pi$: $\text{Beta}(a,b)$ and
the posterior $p(\pi|Y=y)$ is a $\text{Beta}(a+y,b+n-y)$ distribution),
the posterior is tractable up to the normalizing constant (example: ... | What are the factors that cause the posterior distributions to be intractable? | Actually, there are a range of possibilities:
a closed form expression is available for the posterior (example:
$Y\sim \text{Bin}(n,\pi)$, prior for $\pi$: $\text{Beta}(a,b)$ and
the posterior $p(\pi | What are the factors that cause the posterior distributions to be intractable?
Actually, there are a range of possibilities:
a closed form expression is available for the posterior (example:
$Y\sim \text{Bin}(n,\pi)$, prior for $\pi$: $\text{Beta}(a,b)$ and
the posterior $p(\pi|Y=y)$ is a $\text{Beta}(a+y,b+n-y)$ dist... | What are the factors that cause the posterior distributions to be intractable?
Actually, there are a range of possibilities:
a closed form expression is available for the posterior (example:
$Y\sim \text{Bin}(n,\pi)$, prior for $\pi$: $\text{Beta}(a,b)$ and
the posterior $p(\pi |
5,184 | How can I test if given samples are taken from a Poisson distribution? | First of all my advice is you must refrain from trying out a Poisson distribution just as it is to the data. I suggest you must first make a theory as to why should Poisson distribution fit a particular dataset or a phenomenon.
Once you have established this, the next question is whether the distribution is homogeneous... | How can I test if given samples are taken from a Poisson distribution? | First of all my advice is you must refrain from trying out a Poisson distribution just as it is to the data. I suggest you must first make a theory as to why should Poisson distribution fit a particul | How can I test if given samples are taken from a Poisson distribution?
First of all my advice is you must refrain from trying out a Poisson distribution just as it is to the data. I suggest you must first make a theory as to why should Poisson distribution fit a particular dataset or a phenomenon.
Once you have establi... | How can I test if given samples are taken from a Poisson distribution?
First of all my advice is you must refrain from trying out a Poisson distribution just as it is to the data. I suggest you must first make a theory as to why should Poisson distribution fit a particul |
5,185 | How can I test if given samples are taken from a Poisson distribution? | Here is a sequence of R commands that may be helpful. Feel free to comment or edit if you spot any mistakes.
set.seed(1)
x.poi<-rpois(n=200,lambda=2.5) # a vector of random variables from the Poisson distr.
hist(x.poi,main="Poisson distribution")
lambda.est <- mean(x.poi) ## estimate of parameter lambda
(tab.os<-tabl... | How can I test if given samples are taken from a Poisson distribution? | Here is a sequence of R commands that may be helpful. Feel free to comment or edit if you spot any mistakes.
set.seed(1)
x.poi<-rpois(n=200,lambda=2.5) # a vector of random variables from the Poisson | How can I test if given samples are taken from a Poisson distribution?
Here is a sequence of R commands that may be helpful. Feel free to comment or edit if you spot any mistakes.
set.seed(1)
x.poi<-rpois(n=200,lambda=2.5) # a vector of random variables from the Poisson distr.
hist(x.poi,main="Poisson distribution")
... | How can I test if given samples are taken from a Poisson distribution?
Here is a sequence of R commands that may be helpful. Feel free to comment or edit if you spot any mistakes.
set.seed(1)
x.poi<-rpois(n=200,lambda=2.5) # a vector of random variables from the Poisson |
5,186 | How can I test if given samples are taken from a Poisson distribution? | For a Poisson distribution, the mean equals the variance. If your sample mean is very different from your sample variance, you probably don't have Poisson data. The dispersion test also mentioned here is a formalization of that notion.
If your variance is much larger than your mean, as is commonly the case, you might... | How can I test if given samples are taken from a Poisson distribution? | For a Poisson distribution, the mean equals the variance. If your sample mean is very different from your sample variance, you probably don't have Poisson data. The dispersion test also mentioned he | How can I test if given samples are taken from a Poisson distribution?
For a Poisson distribution, the mean equals the variance. If your sample mean is very different from your sample variance, you probably don't have Poisson data. The dispersion test also mentioned here is a formalization of that notion.
If your var... | How can I test if given samples are taken from a Poisson distribution?
For a Poisson distribution, the mean equals the variance. If your sample mean is very different from your sample variance, you probably don't have Poisson data. The dispersion test also mentioned he |
5,187 | How can I test if given samples are taken from a Poisson distribution? | You can use the dispersion (ratio of variance to the mean) as a test statistic, since the Poisson should give a dispersion of 1. Here is a link to how to use it as a model test. | How can I test if given samples are taken from a Poisson distribution? | You can use the dispersion (ratio of variance to the mean) as a test statistic, since the Poisson should give a dispersion of 1. Here is a link to how to use it as a model test. | How can I test if given samples are taken from a Poisson distribution?
You can use the dispersion (ratio of variance to the mean) as a test statistic, since the Poisson should give a dispersion of 1. Here is a link to how to use it as a model test. | How can I test if given samples are taken from a Poisson distribution?
You can use the dispersion (ratio of variance to the mean) as a test statistic, since the Poisson should give a dispersion of 1. Here is a link to how to use it as a model test. |
5,188 | How can I test if given samples are taken from a Poisson distribution? | I suppose the easiest way is just to do a chi-squared Goodness of fit test.
In fact here's nice java applet that will do just that! | How can I test if given samples are taken from a Poisson distribution? | I suppose the easiest way is just to do a chi-squared Goodness of fit test.
In fact here's nice java applet that will do just that! | How can I test if given samples are taken from a Poisson distribution?
I suppose the easiest way is just to do a chi-squared Goodness of fit test.
In fact here's nice java applet that will do just that! | How can I test if given samples are taken from a Poisson distribution?
I suppose the easiest way is just to do a chi-squared Goodness of fit test.
In fact here's nice java applet that will do just that! |
5,189 | How can I test if given samples are taken from a Poisson distribution? | You can draw a single figure in which the observed and expected frequencies are drawn side by side. If the distributions are very different and you also have a variance-mean ratio bigger than one, then a good candidate is the negative binomial. Read the section Frequency Distributions from The R Book. It deals with a v... | How can I test if given samples are taken from a Poisson distribution? | You can draw a single figure in which the observed and expected frequencies are drawn side by side. If the distributions are very different and you also have a variance-mean ratio bigger than one, the | How can I test if given samples are taken from a Poisson distribution?
You can draw a single figure in which the observed and expected frequencies are drawn side by side. If the distributions are very different and you also have a variance-mean ratio bigger than one, then a good candidate is the negative binomial. Read... | How can I test if given samples are taken from a Poisson distribution?
You can draw a single figure in which the observed and expected frequencies are drawn side by side. If the distributions are very different and you also have a variance-mean ratio bigger than one, the |
5,190 | How can I test if given samples are taken from a Poisson distribution? | I think the main point is the one sidmaestro raises...does the experimental setup or data generation mechanism support the premise that the data might arise from a Poisson distribution.
I'm not a big fan of testing for distributional assumptions, since those tests typically aren't very useful. What seems more useful t... | How can I test if given samples are taken from a Poisson distribution? | I think the main point is the one sidmaestro raises...does the experimental setup or data generation mechanism support the premise that the data might arise from a Poisson distribution.
I'm not a big | How can I test if given samples are taken from a Poisson distribution?
I think the main point is the one sidmaestro raises...does the experimental setup or data generation mechanism support the premise that the data might arise from a Poisson distribution.
I'm not a big fan of testing for distributional assumptions, s... | How can I test if given samples are taken from a Poisson distribution?
I think the main point is the one sidmaestro raises...does the experimental setup or data generation mechanism support the premise that the data might arise from a Poisson distribution.
I'm not a big |
5,191 | How can I test if given samples are taken from a Poisson distribution? | Want to improve this post? Provide detailed answers to this question, including citations and an explanation of why your answer is correct. Answers without enough detail may be edited or deleted.
Yet another way to test this is with a quantile quanti... | How can I test if given samples are taken from a Poisson distribution? | Want to improve this post? Provide detailed answers to this question, including citations and an explanation of why your answer is correct. Answers without enough detail may be edited or deleted.
| How can I test if given samples are taken from a Poisson distribution?
Want to improve this post? Provide detailed answers to this question, including citations and an explanation of why your answer is correct. Answers without enough detail may be edited or deleted.
... | How can I test if given samples are taken from a Poisson distribution?
Want to improve this post? Provide detailed answers to this question, including citations and an explanation of why your answer is correct. Answers without enough detail may be edited or deleted.
|
5,192 | Negative values for AIC in General Mixed Model [duplicate] | The AIC is defined as
$$\text{AIC} = 2k - 2\ln(L)$$
where $k$ denotes the number of parameters and $L$ denotes the maximized value of the likelihood function.
For model comparison, the model with the lowest AIC score is preferred. The absolute values of the AIC scores do not matter. These scores can be negative or posi... | Negative values for AIC in General Mixed Model [duplicate] | The AIC is defined as
$$\text{AIC} = 2k - 2\ln(L)$$
where $k$ denotes the number of parameters and $L$ denotes the maximized value of the likelihood function.
For model comparison, the model with the | Negative values for AIC in General Mixed Model [duplicate]
The AIC is defined as
$$\text{AIC} = 2k - 2\ln(L)$$
where $k$ denotes the number of parameters and $L$ denotes the maximized value of the likelihood function.
For model comparison, the model with the lowest AIC score is preferred. The absolute values of the AIC... | Negative values for AIC in General Mixed Model [duplicate]
The AIC is defined as
$$\text{AIC} = 2k - 2\ln(L)$$
where $k$ denotes the number of parameters and $L$ denotes the maximized value of the likelihood function.
For model comparison, the model with the |
5,193 | Percentage of overlapping regions of two normal distributions | This is also often called the "overlapping coefficient" (OVL). Googling for this will give you lots of hits. You can find a nomogram for the bi-normal case here. A useful paper may be:
Henry F. Inman; Edwin L. Bradley Jr (1989). The overlapping coefficient as a measure of agreement between probability distributions a... | Percentage of overlapping regions of two normal distributions | This is also often called the "overlapping coefficient" (OVL). Googling for this will give you lots of hits. You can find a nomogram for the bi-normal case here. A useful paper may be:
Henry F. Inma | Percentage of overlapping regions of two normal distributions
This is also often called the "overlapping coefficient" (OVL). Googling for this will give you lots of hits. You can find a nomogram for the bi-normal case here. A useful paper may be:
Henry F. Inman; Edwin L. Bradley Jr (1989). The overlapping coefficient... | Percentage of overlapping regions of two normal distributions
This is also often called the "overlapping coefficient" (OVL). Googling for this will give you lots of hits. You can find a nomogram for the bi-normal case here. A useful paper may be:
Henry F. Inma |
5,194 | Percentage of overlapping regions of two normal distributions | This is given by the Bhattacharyya coefficient. For other distributions, see also the generalised version, the Hellinger distance between two distributions.
I don't know of any libraries to compute this, but given the explicit formulation in terms of Mahalanobis distances and determinant of variance matrices, implement... | Percentage of overlapping regions of two normal distributions | This is given by the Bhattacharyya coefficient. For other distributions, see also the generalised version, the Hellinger distance between two distributions.
I don't know of any libraries to compute th | Percentage of overlapping regions of two normal distributions
This is given by the Bhattacharyya coefficient. For other distributions, see also the generalised version, the Hellinger distance between two distributions.
I don't know of any libraries to compute this, but given the explicit formulation in terms of Mahalan... | Percentage of overlapping regions of two normal distributions
This is given by the Bhattacharyya coefficient. For other distributions, see also the generalised version, the Hellinger distance between two distributions.
I don't know of any libraries to compute th |
5,195 | Percentage of overlapping regions of two normal distributions | I don't know if there is an obvious standard way of doing this, but:
First, you find the intersection points between the two densities. This can be easily achieved by equating both densities, which, for the normal distribution, should result in a quadratic equation for x.
Something close to:
$$
\frac{(x-\mu_2)^2}{2\... | Percentage of overlapping regions of two normal distributions | I don't know if there is an obvious standard way of doing this, but:
First, you find the intersection points between the two densities. This can be easily achieved by equating both densities, which, f | Percentage of overlapping regions of two normal distributions
I don't know if there is an obvious standard way of doing this, but:
First, you find the intersection points between the two densities. This can be easily achieved by equating both densities, which, for the normal distribution, should result in a quadratic e... | Percentage of overlapping regions of two normal distributions
I don't know if there is an obvious standard way of doing this, but:
First, you find the intersection points between the two densities. This can be easily achieved by equating both densities, which, f |
5,196 | Percentage of overlapping regions of two normal distributions | For posterity, wolfgang's solution didn't work for me—I ran into bugs in the integrate function. So I combined it with Nick Staubbe's answer to develop the following little function. Should be quicker and less buggy than using numerical integration:
get_overlap_coef <- function(mu1, mu2, sd1, sd2){
xs <- seq(min(... | Percentage of overlapping regions of two normal distributions | For posterity, wolfgang's solution didn't work for me—I ran into bugs in the integrate function. So I combined it with Nick Staubbe's answer to develop the following little function. Should be quicke | Percentage of overlapping regions of two normal distributions
For posterity, wolfgang's solution didn't work for me—I ran into bugs in the integrate function. So I combined it with Nick Staubbe's answer to develop the following little function. Should be quicker and less buggy than using numerical integration:
get_o... | Percentage of overlapping regions of two normal distributions
For posterity, wolfgang's solution didn't work for me—I ran into bugs in the integrate function. So I combined it with Nick Staubbe's answer to develop the following little function. Should be quicke |
5,197 | Percentage of overlapping regions of two normal distributions | Here is the Java version, Apache Commons Mathematics Library:
import org.apache.commons.math3.distribution.NormalDistribution;
public static double overlapArea(double mean1, double sd1, double mean2, double sd2) {
NormalDistribution normalDistribution1 = new NormalDistribution(mean1, sd1);
NormalDistribution ... | Percentage of overlapping regions of two normal distributions | Here is the Java version, Apache Commons Mathematics Library:
import org.apache.commons.math3.distribution.NormalDistribution;
public static double overlapArea(double mean1, double sd1, double mean2, | Percentage of overlapping regions of two normal distributions
Here is the Java version, Apache Commons Mathematics Library:
import org.apache.commons.math3.distribution.NormalDistribution;
public static double overlapArea(double mean1, double sd1, double mean2, double sd2) {
NormalDistribution normalDistribution1... | Percentage of overlapping regions of two normal distributions
Here is the Java version, Apache Commons Mathematics Library:
import org.apache.commons.math3.distribution.NormalDistribution;
public static double overlapArea(double mean1, double sd1, double mean2, |
5,198 | Percentage of overlapping regions of two normal distributions | I think something like this could be the solution in MATLAB:
[overlap] = calc_overlap_twonormal(2,2,0,1,-20,20,0.01)
% numerical integral of the overlapping area of two normal distributions:
% s1,s2...sigma of the normal distributions 1 and 2
% mu1,mu2...center of the normal distributions 1 and 2
% xstart,xend,xinte... | Percentage of overlapping regions of two normal distributions | I think something like this could be the solution in MATLAB:
[overlap] = calc_overlap_twonormal(2,2,0,1,-20,20,0.01)
% numerical integral of the overlapping area of two normal distributions:
% s1,s | Percentage of overlapping regions of two normal distributions
I think something like this could be the solution in MATLAB:
[overlap] = calc_overlap_twonormal(2,2,0,1,-20,20,0.01)
% numerical integral of the overlapping area of two normal distributions:
% s1,s2...sigma of the normal distributions 1 and 2
% mu1,mu2...... | Percentage of overlapping regions of two normal distributions
I think something like this could be the solution in MATLAB:
[overlap] = calc_overlap_twonormal(2,2,0,1,-20,20,0.01)
% numerical integral of the overlapping area of two normal distributions:
% s1,s |
5,199 | Intuitive difference between hidden Markov models and conditional random fields | From McCallum's introduction to CRFs: | Intuitive difference between hidden Markov models and conditional random fields | From McCallum's introduction to CRFs: | Intuitive difference between hidden Markov models and conditional random fields
From McCallum's introduction to CRFs: | Intuitive difference between hidden Markov models and conditional random fields
From McCallum's introduction to CRFs: |
5,200 | Intuitive difference between hidden Markov models and conditional random fields | As a side note: I would kindly ask you to maintain this (incomplete) list so that interested users have an easily accessible resource. The status quo still requires individuals to investigate a lot of papers and/or long technical reports for finding answers related to CRFs and HMMs.
In addition to the other, already go... | Intuitive difference between hidden Markov models and conditional random fields | As a side note: I would kindly ask you to maintain this (incomplete) list so that interested users have an easily accessible resource. The status quo still requires individuals to investigate a lot of | Intuitive difference between hidden Markov models and conditional random fields
As a side note: I would kindly ask you to maintain this (incomplete) list so that interested users have an easily accessible resource. The status quo still requires individuals to investigate a lot of papers and/or long technical reports fo... | Intuitive difference between hidden Markov models and conditional random fields
As a side note: I would kindly ask you to maintain this (incomplete) list so that interested users have an easily accessible resource. The status quo still requires individuals to investigate a lot of |
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