question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I have been reading the book, <em>Good to Great</em> by Jim Collins. It says that you should focus on information that "cannot be ignored," and that you should focus on the right "denominator." </p>
<p>I thought it would be good to measure "Average Growth Rate per Producing Entity." If we are providing value and s... | g17827 | [
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<p>I have a matrix with 1024 features and 10000 samples with a label vector of three different classes. I use R MASS library <code>lda</code> function to compute the model and get the coefficients for linear discriminants:</p>
<pre><code>> library (MASS)
>
> ldamodel = lda(data$X, data$y)
> head (ldamodel... | g61297 | [
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<p>I am trying to describe my understand of kernels in the Support Vector Machine(SVM) and why some of them are more popular, but I am not sure if I misunderstand these concepts: </p>
<p>1) There are a large number of kernel functions in SVM, such as RBF, polynomial, linear,etc. Generally, they can be separate... | g61298 | [
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<p>Suppose you have 40 different books (20 math books, 15 history books, and 5 geography
books).</p>
<p>Let M = math books, H = history books, G = geography books</p>
<p>You pick 5 books at random, with replacement, one at a time. What is the probability that you've picked books from at most two disciplines?</p>
<p>... | g39574 | [
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<p>I'm running a generalized linear model (quasi-poisson regression) as a cron job in R that trains on data from an SQL query. The SQL query pulls data from the last 30 days. Depending on the sample of data from the last 30 days, the regression coefficients of course change. As a result, I'm then writing the regression... | g61299 | [
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<p>I am trying to plot the predicting line for a GLM with proportional data. After having troubles with the example from "Crawley" I found this link:
<a href="http://stats.stackexchange.com/questions/38201/problems-plotting-glm-data-of-binomial-proportional-data">Problems plotting GLM data of binomial proportional data... | g61300 | [
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<p>What is an estimator of standard deviation of standard deviation if normality of data can be assumed?</p> | g61301 | [
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<p>I have a data set of about 3,000 field observations. </p>
<p>The data collected is divided into 20 variables (real numbers), 30 boolean variables, and 10 or so look up variables and one "answer" variable</p>
<p>We have about 20,000 objects in the field, and i'm trying to produce an "answer" for the 20,000 objects ... | g61302 | [
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<p>let's say that I performed 10 2x2 factorial ANOVAs. In total I get 30 effects (two main effects and one interaction for each ANOVA). When adjusting the alpha level for multiple comparisons, should I consider 30 hypothesis tests or only 10? Formally they are not 30 comparisons, since they are "nested" into triplets i... | g17833 | [
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<p>I am looking for datasets of 2 dimensional datapoints (each datapoint is a vector of two values (x,y)) following different distributions and forms. Code to generate such data would also be helpful. I want to use them to plot / visualise how some clustering algorithms perform. Here are some examples:</p>
<ul>
<li><a... | g61303 | [
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<p>There are words from the <em>The Elements of Statistical Learning</em> on page 119:</p>
<blockquote>
<p>It is not hard to show that the following basis represents a cubic spline with knots at $\xi_1$ and $\xi_2$:</p>
</blockquote>
<ul>
<li>$h_1(X)=1$ </li>
<li>$h_2(X)=X$</li>
<li>$h_3(X)=X^2$</li>
<li>$h_4(X... | g47583 | [
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<p>I am doing a study on the effects of bad blood sugar control on patients. BMI, age, type of diabetes (Type 1 and 2 or gestational diabetes) are all variables. Outcomes include C section, early labour etc. A reviewer told me </p>
<blockquote>
<p>Comparisons should be adjusted to maternal age and baseline BMI.</p>... | g17837 | [
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<p>I am currently fitting models that are intended to be used for extrapolating from a limited sample to a large population. For a specific example, one model is predicting water temperature in rivers based on attributes of the river. The sample includes data from approximately 1,000 river segments (a river segment is ... | g61304 | [
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<p>Consider the 3-D real random vector $(X_1,X_2,X_3)$ which is uniformly distributed on the surface of a unit sphere. What can be told about the distribution of $(aX_1,bX_2,cX_3)$, where $a,b,c,$ are non-zero and non-identical real constants? Is it true to say that they are distributed uniformly on the surface of an e... | g18642 | [
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<p>Good day. I know getting the class interval given 3 as the highest value and 0.65 as the lowest value is easy. Here's the catch, the distribution of the interval starts at 1 which is considered as the base line or the acceptable value. So first I tried calculating for the range using the usual ways of doing way of d... | g42921 | [
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<p>The <a href="http://perso.univ-rennes1.fr/isabelle.cadoret-david/econometrie/regmultiple/hansen.pdf" rel="nofollow">Nyblom-Hansen test</a> gives information about the stability of the estimated parameters in a model. </p>
<p>As far as I understand this test, it looks at the score of the ML at evaluates, how near to... | g61305 | [
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<p>I was reading this tutorial where they mentioned </p>
<pre><code>Make predictions on the development set.
Look at contingency table; where are the errors?
What do you miss? Error analysis!
What feature would the classifier need to get this right? What features are confusing the classifier?
... If it never appears i... | g61306 | [
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<p>I have a question about clustering.
I' m managing gene expression microarray data and I would like to cluster them in classes.
I searched around to find the best clustering algorithm for my data, but since as in all
gene expression microarray experiments the number of genes exceed greatly the number of samples be... | g17841 | [
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<p>I have this set of data</p>
<pre><code>x y
0.5 306.3
1 622.3
2 1230.1
3 2017.7
4 2589
5 3175.4
6 3751.9
9 5585.7
12 7388.8
15 9218.8
20 12042.8
25 15056.5
30 18081.2
45 27095.3
60 35609.2
80 47263.1
</code></pre>
<p>When I plot x vs y with R I obtain an almost linear plot, when I plot... | g17842 | [
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<p>I counted the number of birds in a flock, which gave counts like these:</p>
<pre><code>set.seed(1)
number.birds.in.flock <- sample(51:500, 10)
number.birds.in.flock
# [1] 170 218 307 456 140 450 470 343 329 78
</code></pre>
<p>I recorded the species that formed each flock:</p>
<pre><code>species <- c(rep("... | g25757 | [
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<p>Moved from <a href="http://stackoverflow.com/questions/16631113/regression-model-for-periodic-data" title="Stack Overflow">Stack Overflow</a></p>
<p>Could someone help me to find adequate regression model for my data?</p>
<p>I tried to find one by changing the model and initial approximation (ln 15-16) in this sim... | g41848 | [
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<p>Does anyone know of good robust algos to estimate partial derivatives of a regression model? I am talking about a general regression model like this:</p>
<p>$\mathbb{E}(y|x_1, x_2, ... x_n) = f(x_1, x_2, ... x_n)$, where I want estimates of $\frac{\partial f}{\partial x_k}$.</p>
<p>These are of great importance in... | g61307 | [
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<p>For example say there are N independent variables, and you make a fit with three of them that has a decent Adjusted R2, how do you know when to stop? This is a theoretical question.</p> | g61308 | [
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<p>I have found a lot of information on fitting ARMA(p,q) using exact maximum likelihood, but very little for conditional maximum likelihood.</p>
<p>Can anyone direct me to an R function that fits ARMA(p,q) by conditional maximum likelihood as well as some documentation that explains the concept?</p> | g61309 | [
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<p>I have a multiple linear regression model (OLS) that has a constant, 5 variables, and an interaction term between two of the dummy variables.</p>
<p>I need to perform the Durbin-Watson test for first-order correlation, and in order to find the critical values, I need to know the number of explanatory variables (not... | g17846 | [
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<p>I will start off by saying that I don't have a concrete understanding of whats under the hood of a SVM classifier. </p>
<p>I am interested in using an SVM with the RBF kernel to train a two class classifier. I however find that the training (and even prediction) takes a lot of time when working with the RBF kernel ... | g61310 | [
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<p>How exactly does the value of C relate across different kernels that we can use for SVM's? As in, how does it vary when changing the polynomial degree of a kernel or while using a Gaussian kernel?</p> | g17847 | [
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<p>I have three matrices A, B, C.</p>
<p>A is a matrix of 200 X 32.
There are 2000 such different A matrices which make up the B matrix.
B is a matrix of 2000 x A. That is there are 2000 x 200 rows in matrix B with 32 columns.</p>
<p>C is a matrix of 2000 x 14.</p>
<p>Each of the A matrix corresponds to a row in C m... | g17848 | [
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<p>I want to obtain an unbiased estimator for $b_1$ in a simple regression like that: $Y_i = B_0 + B_1X_i + u_i$ when I have two samples, always same size for Y and X, but once the sample size is l and once the sample size is m. The respective sample means $\bar{Y_l},\bar{X_l}$ and $\bar{Y_m},\bar{X_m}$ are given. Now ... | g61311 | [
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<p>Based on <a href="http://stackoverflow.com/a/9330332/580010">this</a> answer, Python requires expected values in a chi square test to be absolute frequencies. Consider the following in Python:</p>
<pre><code>import numpy
import scipy.stats
# chisquare function requires (observed, expected)
scipy.stats.chisquare(num... | g550 | [
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<p><img src="http://i.stack.imgur.com/vvOCA.jpg" alt="Returns"></p>
<p>So I plotted the ACF/<a href="http://en.wikipedia.org/wiki/Partial_autocorrelation_function" rel="nofollow">PACF</a> of oil returns and was expecting to see some positive autocorrelation but to my surprise I only get negative significant autocorrel... | g61312 | [
0.0624120756983757,
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<p>I send Alice and Bob out to record people's eye colour (blue, brown, green, other). Alice does a great job and writes down the eye colour of 2000 people. Bob only records the eye colour of 20 people. Alice found all 2000 people had brown eyes. Bob found 19 people with brown eyes and one with green eyes. How importan... | g61313 | [
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<p>I have a 2 by 2 design with 12 subjects. The two factors are within-subjects variables. For each cell, 24 responses were collected from each subject. My question is whether I need to aggregate every 24 responses into a mean and then use the mean in lmer as the dependent variable. This webpage <a href="http://tal... | g29492 | [
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<p>Suppose you take 3 samples and report a 99% confidence interval for each dataset. How would you go about calculating the probability that all the datasets contain the true population mean? No other statistics are provided.</p> | g47598 | [
0.04317336529493332,
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<p>In a linear model including ANOVA one can test a trend (e.g., linearity, quadratic effect, etc.) among the ordered effects (regression coefficients or factor levels) through assigning proper weights. For example, suppose that we have a time series regression model</p>
<p>$Y=\alpha+\beta_1X_1+\beta_2X_2+\beta_3X_3+\... | g61314 | [
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0.0... |
<p>The given data below shows the time in intervals in seconds between successive white cars in flowing traffic in an open road.Can these be modeled by an exponential distribution.</p>
<pre><code>Time 0- 20- 40- 60- 90- 120-180
Frequency 41 19 16 13 9 2
</cod... | g61315 | [
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<p>I have an outcome which is truncated from both left and right sides. I would like to know which regression method may account this kind of analysis. Here is an example:</p>
<pre><code>set.seed(123)
z<-rnorm(300)
y<-z[z>=-0.8 & z<=1.2] #truncated
x1<-sample(1:3, length(y), T)
x2<-rbinom(length(... | g17854 | [
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<p>I fit a simple linear model $y = bX$ to a data set today, and that produced 24 residuals (I have 24 data points, one for each year from 1984-2007). I would like to test the time-independence of the residuals of my model, and I was recommended by my supervisor to use the Ljung-Box test. The <code>Box.test</code> func... | g61316 | [
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0.06083957850933075,
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<p>I have a vector of simulated data:</p>
<pre><code>data = c(0.47, 0.45, 0.30, 1.15, 0.82, 0.38, 0.51, 1.36, 1.72, 0.36)
</code></pre>
<p>I've been adding noise to this by generating random numbers centered at 0 with different standard deviations:</p>
<pre><code>noise = rnorm(10, mean = 0, sd = 0.1)
data_wNoise = d... | g47602 | [
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0.022709708660840988,
0.04686325788497925,
0.01... |
<p>In my project, one variable named Organizational Culture has 5 dimensions namely Employee Development, Harmony, Customer Orientation, Social Responsibility and Innovation. In SPSS, I need to configure these 5 dimensions into 4 types so that:</p>
<ol>
<li>The highly integrative culture has high scores on all 5 dimen... | g551 | [
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<p>Suppose I'm running an experiment that can have 2 outcomes, and I'm assuming that the underlying "true" distribution of the 2 outcomes is a binomial distribution with parameters $n$ and $p$: ${\rm Binomial}(n, p)$. </p>
<p>I can compute the standard error, $SE_X = \frac{\sigma_X}{\sqrt{n}}$, from the form of the v... | g425 | [
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<p>I realize the methodology pursued by the Frequentist and Bayesian camps generally differ. However, one method of estimation that they do share is optimization of a certain function: </p>
<ul>
<li>Frequentists maximize the <em>likelihood</em> function, giving the Max. Likelihood (ML) estimator.</li>
<li>Bayesians ma... | g17856 | [
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<p>I have the following problem: I have performed 3200 correlations between a certain measure of connectivity and 1 behavioural outcome in a sample of subjects. As the single correlations (represented by R and p) are not independent from each other, Bonferroni or FDR correction (at given p-values) failed to leave any s... | g47605 | [
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<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/17119/lift-measure-in-data-mining">Lift measure in data mining</a> </p>
</blockquote>
<p>What exactly is a lift chart? I am still not sure what the purpose of this chart is. Is it basically to compare a ba... | g49616 | [
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<p>Are there other ways to represent time series part-to-whole data instead of using an area chart like the one in the example below?</p>
<p>I want to highlight changes in population year to year. And I have some folks that find this a little confusing.</p>
<p><img src="http://i.stack.imgur.com/pTvHu.png" alt="enter ... | g61317 | [
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0.005313174799084663,
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<p>I am new to statistics and was asked to develop a statistical model, which I had started, they ask me to carry out concordance and discordance now, however I don't know anything about these terms except that the concordance is the probability that a pair of individuals will both have a certain characteristic, given ... | g17861 | [
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<p>I know that if events $A$ and $B$ are independent, then $P(A\cap B) = P(A).P(B)$.</p>
<p>Lets say I roll a dice, and define the following events:</p>
<p>$x$ = Number is a multiple of $3 = \lbrace 3, 6\rbrace$</p>
<p>$y$ = Number is more than $3 = \lbrace 4, 5, 6\rbrace$</p>
<p>$z$ = Number is even = $\lbrace 2... | g49334 | [
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0.03788760304450989,
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<p>The nonlinear model I am fitting gamma distribution with inverse or log is not converging. There is one observation having zero value in the response variable. Does this zero affects to model the data? Any answer warmly appreciated! </p> | g37683 | [
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<p>I have been told in the past that semipartial coefficients are better, but I do not remember why that is meant to be the case. A google search seems to reveal that many researchers use one or the other, and some report both.</p>
<p>Assuming I'm going to only report one, is there a good reason to use one rather than... | g61318 | [
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<p>I am using the R e1071 library for the SVM (Support Vector Machine) algorithm.
And I used tune to find out the best Cost and gamma parameters.</p>
<p>Though the plot doesn't seem to provide the actual best prediction.</p>
<p>Here is some details:</p>
<pre><code>gammalist <- c(0.005,0.01,0.015,0.02,0.025,0.03,0... | g17864 | [
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<p>I have dataset A where households are interviewed each quarter for one year. I am focussing only on the households who have data for all quarters. With this imposition, observations are reduced by more than half. Next, I have dataset B where there is a variable "notinA" which is not in data A, but is in dataB. I am... | g29556 | [
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... |
<p>I have a question. I have a dataset with some missing values that were not MCAR. I imputed them with fully conditional specification method iterations. I then executed my analysis on the basis of the imputed dataset. The results of the original model (with missing values: listwise deletion) did not change much in t... | g61319 | [
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<p>When doing a missing-data analysis with FIML in Lisrel, I don't get a lot of goodness-of-fit statistics. I have discovered that you can calculate the fit-indices using the Chi-Square from an independence model.</p>
<p>Now the question is first of all, how do I estimate an independence model in a missing data analys... | g61320 | [
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<p>I am now working on a classification problem. The generated feature set can be separated into two group. I did a comparison study: use all of the features; use the features of group 1 only; and use the features of group 2 only. It turns out that the performance of using all of the features are the worst. How to unde... | g17869 | [
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<p>If I've understood correctly, the Benjamini-Hochberg (BH) correction is used to correct for the rate of false discoveries (FDR) when testing a collection of $m$ random variables, $\{X_1, \ldots,X_m\}$ against $m$ null hypotheses $\{H_0^1, \ldots, H_0^m\}$, of which $k\leq m$ can be true.</p>
<p>Now consider a situa... | g61321 | [
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0... |
<p>I know that uniform samples used on inverse cdf's can be used to generate normal samples. I was wondering how a technique would generate a uniform sample!?</p> | g61322 | [
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... |
<p>I'm looking for review papers which give comprehensive reviews of P-values, adjusted P-values and common statistical tests in bioinformatics. </p> | g61323 | [
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<p>I'm in a situation in which I derived a list of 500 genes using a sophisticated method, of which I found a subgroup of 60 genes that are mutated according to a mutational annotation. To verify the enrichment was not due by chance, I generated 1000 random list of 500 genes (length) and I annotated the genes for muta... | g61324 | [
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... |
<p>I'm analysing data that relates to trade sizes over time and want to test that the changes are statistically significant. The following figure sums up what I want to do. </p>
<p><img src="http://i.stack.imgur.com/3Zxv3.jpg" alt="enter image description here"></p>
<p>For example, for node WW below (with a mean bet ... | g34217 | [
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0.015954559668898582,
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<p>I am having a hard time understanding the notion of p-values (looking of layman interpretation in words) that comes up in the model summary of lm models in R. </p>
<p>I understand that a layman interpretation for t-values is that they serve like estimated z - scores and a z-score talks about how a data point varies... | g49294 | [
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<p>Suppose to have a bivariate normal variable $\mathbf{x}=(x_1,x_2)$ with mean $\mu$ and covariance matrix $\Sigma$. I move from $\mathbf{x}$ to $(\theta,r)$ where $x_1 = r \cos \theta$ and $x_2 = r \sin \theta$: the representation in polar coordinates of $\mathbf{x}$.
My question is: is it possible to derive the cha... | g61325 | [
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-0.00782360415905714,
-... |
<p>I have a data set consisting of six independent environmental variables (all binomial: present / absent) and one dependent variable (binomial: disease present / absent).
In order to determine the combination of factors that have the highest probability of leading to disease, I first need to conduct an Expert Opinio... | g61326 | [
0.025087609887123108,
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0.004052411764860153,
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-0.050787027925252914,
0.044951822608709335,
0.026111744344234467,
0.025552259758114815,
0.... |
<p>I am currently working at work on a project that attempts to predict an environmental change variable. I am personally not a huge fan of the project, but I still want to do the best job possible. Anyhow, let me first describe the properties of the data, and then state my question. </p>
<p>The environmental variable... | g61327 | [
0.029316848143935204,
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0.007244158536195755,
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0.009319918230175972,
0.023297607898712158,
0.035991158336400986,
0.02077927067875862,
0... |
<p>I'm trying to understand the Line Search approach to Gradient Descent (<a href="http://en.wikipedia.org/wiki/Line_search" rel="nofollow">http://en.wikipedia.org/wiki/Line_search</a>). It seems that a naive implementation would</p>
<pre><code>while (termination criteria not met)
1) Compute gradient at a current ... | g61328 | [
-0.005818994250148535,
0.005373280495405197,
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0.012989852577447891,
0.058359820395708084,
0.03... |
<p>I am new to deep learning. Please help me..</p>
<p>What is belief network. What is the use of it? How to learn belief networks? Is deep belief network a belief network with multiple layers?</p> | g61329 | [
0.012280154041945934,
0.03847777098417282,
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... |
<p>It's well known that under the null hypothesis, the p-value has a uniform distribution. However, how can we determine the distribution for q-values (false Discovery Rate adjusted p-values)? I guess it is no longer uniform since the lowest is always increased. Thanks!</p> | g61330 | [
0.05320454388856888,
0.028713908046483994,
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0.04... |
<p>I'm building an application where a specific location is chosen, multiple services are polled to return results for that specific location and shown on a map.</p>
<p>I have the results from the different sources shown in different colours on the map, so you can get a feel for which results are the "Best". In this i... | g61331 | [
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0.03517354279756546,
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0.0629398450255394,
0.01738... |
<p><strong>Firstly:</strong>
I want to run a CFA with 7 latent variables and 39 observed variables. </p>
<p>For a guide of how I constructed my CFA, I used this Youtube Video:</p>
<p><a href="http://www.youtube.com/watch?v=JkZGWUUjdLg" rel="nofollow">http://www.youtube.com/watch?v=JkZGWUUjdLg</a></p>
<p>It looks to ... | g61332 | [
0.003017015289515257,
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0.04026911035180092,
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0.04683351516723633,
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-0.07303296774625778,
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0.0023211820516735315,
0.010549651458859444,
0.0... |
<p>I have a cloud of points that can be clustered so that each set of points in the cluster can be fitted with an inverse function : $f(x) = cte / x$.</p>
<p>What would be an approach for clustering my dataset when discrimining criteria is fit to an inverse curve. I am on the computational side, I am looking for a sim... | g61333 | [
0.07160922139883041,
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0.004325987305492163,
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0.01563957706093788,
0.03744787722826004,
0.1375509351491928,
-0.019356... |
<p>Say I have irregular samples of two random processes that are both based on an unobserved process, $Z(t)$. Their SDEs are</p>
<p>$\mathrm{d}X(t) = \mathrm{d}Z(t-u(t)) + \epsilon(t)$</p>
<p>$\mathrm{d}Y(t) = \mathrm{d}Z(t-v(t)) + \eta(t)$</p>
<p>where $\epsilon(t)$ and $\eta(t)$ are white noise and $Z(t)$ is any ... | g17877 | [
0.00017877982463687658,
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0.038178712129592896,
0.003524176077917218,
0.05793742835521698,
0.02874675765633583,
-0.00... |
<p>The model which will be used is defined as </p>
<p>$e(n) = d(n) - y(n)$ </p>
<p>with </p>
<p>$y(n) = x(n)^Tw(n)$.</p>
<p>where $e(n)$ is the error term of the n-th observation, $x(n)$ the input vector of the n-th observation, $d(n)$ the target output of the n-th observation and last but not least $y(n)$ the obs... | g17878 | [
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0.006628857459872961,
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0.0... |
<p>Excuse the rather basic question, but I was <a href="http://www.japantimes.co.jp/news/2013/02/14/national/fukushima-disaster-panel-so-far-reports-three-young-people-have-thyroid-cancer/">reading this article on thyroid cancer in Fukushima</a> and it was reported that 3 cases in 38,000 children were found in the prev... | g554 | [
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-0.031176118180155754,
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-0.02741767279803753,
-0.001828348496928811... |
<p>Forgive if this question is too broad, but i'm wondering if there is a way to deal with spatial pseudoreplication in ordinations? </p>
<p>I have a split-plot treatment design, and am wanting to run ordinations (maybe using NMS) for each year of my experiment to see how relationships between different plots receivi... | g17879 | [
-0.04546269774436951,
-0.00037293104105629027,
-0.005543648265302181,
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-0.021060757339000702,
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0.03926117718219757,
... |
<p>Reading <a href="http://en.wikipedia.org/wiki/Canonical_correlation" rel="nofollow">Wikipedia</a> about canonical correlation analysis (CCA) for two random vectors $X$ and $Y$, I was wondering if PCA is the same as CCA with $X$ and $Y$ are the same?</p>
<p>Thanks and regards!</p> | g61334 | [
0.026510152965784073,
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0.01686176285147667,
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... |
<p>Consider an iid sample $X_1, \dots, X_n$, from a "well behaved" distribution
with pdf $f(X)$.</p>
<p>My question is the following: what are the classes of statistics $S(X_1, \dots, X_n)$ that are asymptotically normal?</p>
<p>I know about the asymptotic normality of specific statistics (such as the sample mean), b... | g61335 | [
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0.051757656037807465,
-... |
<p>I am trying to correlate server usage data with CPU utilization. E.g., X number of transactions on the server correlates with Y amount of CPU utilization. The transactions are reported hourly and the CPU utilization is reported on a per minute basis. The current approach is to average the CPU utilization over the... | g61336 | [
0.02060377225279808,
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0.027045758441090584,
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0... |
<p>I have 3 groups in my dependent variable. The sample sizes on the 3 are very different.
I have about 10000 in the first group, 35000 in the second and 100,000 in the third. </p>
<p>My question is: Should we sample down group 2 and 3 before modeling? Paul Allison talks about this topic briefly in his book on logisti... | g61337 | [
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0.009264804422855377,
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0.020506827160716057,
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0.... |
<p>I'm analyzing multivariate panel data which includes autocorrelated time series variables. The response variable is binary and I'm considering a random intercept to account for between subject variation. So a mixed effect logistic regression seems to be in order.</p>
<p>Is it safe to say if I ignore the autocorrela... | g17885 | [
0.03180335834622383,
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<p>I am deriving a gibbs sampler for a joint distribution, where the conditionals of various parameters are product of two non-standard normal distributions. Usually, I have seen that in Gibbs sampling people sample their conditionals from standard distribution. But if I sample from the two normals and then multiply th... | g61338 | [
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0.00132388761267066,
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<p>Lets say we have data-set consists of 100 instance, each instance belong to one of 6 classes {1,2,3,4,5,6}. Furthermore, 70% of the instances belong to class 3.</p>
<p>For classification problem, if the output of the classifier is always 3 we will get accuracy of 70%! </p>
<p>Is there a way for measuring accuracy ... | g61339 | [
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0.006975551601499319,
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0.07496143877506256,
0.044658780097961426,
... |
<p>In some textbook the KL divergence shows up in the proof of Hoeffding's inequality (e.g., eq. (5) of <a href="http://www.csie.ntu.edu.tw/~htlin/course/ml12fall/doc/hw0_5_e.pdf" rel="nofollow">this material</a>). In contrary, most other textbooks seem not mention this fact. I know that KL divergence is essentially Br... | g38132 | [
0.08802009373903275,
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0.023098502308130264,
0.004379077348858118,
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0.001351469079963863,
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0.06184421479701996,
0... |
<p>From <a href="http://yatani.jp/HCIstats/CA" rel="nofollow">a website</a></p>
<blockquote>
<p>you can think that Correspondence Analysis is a categorical data
version of PCA. But the main usage of Correspondence Analysis is
different from that of PCA, and it is more like clustering or Factor
Analysis. With C... | g17888 | [
0.024914229288697243,
0.009839101694524288,
0.007607301231473684,
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0.03924832493066788,
0.012620534747838974,
0.07518603652715683,
0.0213... |
<p>When using weka library for clustering ,Is there any way to find best number of clusters.
The EM methods are defined but how to use these methods in java code.
Please suggest</p> | g17889 | [
0.01657935045659542,
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0.03399711474776268,
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0.0942719355225563,
0.0840... |
<p>I am using the estimated county-level poverty measure from the Small Area Income and Poverty Estimates <a href="http://www.census.gov/did/www/saipe/" rel="nofollow">(SAIPE)</a> as the dependent variable in a regression analysis. This value is itself the result of a model and comes complete with upper and lower 90% c... | g61340 | [
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0.04061533883213997,
0.024321867153048515,
0.06368301808834076,
-... |
<p>If I want to nonparametrically bootstrap the following matrix (with replacement):</p>
<pre><code>1 2 15 12 14 22
3 5 1 9 29 19
2 22 12 11 9 13
14 3 6 16 17 23
5 34 22 12 13 16
7 14 13 19 17 3
</code></pre>
<p>Would I "jumble" up only the rows, to obtain matrices like:</p>... | g61341 | [
0.026442473754286766,
0.014158121310174465,
-0.0034739512484520674,
-0.033510394394397736,
0.030854688957333565,
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0.021222788840532303,
0.015174826607108116,
-0.06265970319509506,
0.011247316375374794,
0.018175283446907997,
0.00911767315119505,
0.03979727253317833,
0.... |
<p>I have a manuscript on a bootstrap method for testing hypotheses of one mean, and I would like to send it for publication, but I have a moral dilemma. I have signed on to the protest against Elsevier for their unethical business practices, and reading up on the whole issue really made me question the ethics of other... | g61342 | [
0.04602694883942604,
0.00021178039605729282,
0.04412715509533882,
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0.05459446460008621,
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0.07694783061742783,
0.12435360997915268,
0.008354651741683483,
0.02072637714445591,
0.0039... |
<p>I am doing regression task and the response variables in my dataset have a skewed distribution. Say, for the sake of simplicity, that I have a model Y~X and Y(response variable) is in [1,5] but there are many more values in the [4,5] range than the [1,2] range. As a result a majority predictor that predicts 4.5 for... | g47647 | [
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0.022893963381648064,
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0.0808897614479065,
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0.0014202226884663105,
0.04560708627104759,
-0.013140442781150341,
0.07055415958166122,
0.... |
<p>First, I want to clarify this is a very basic question. I'm new using R (and programming in general). </p>
<p>I have a data.frame with 3 columns: </p>
<p>block, average condition 1, average condition 2. </p>
<p>The blocks run from 1 to 9 and the average are response times averaged across subjects.
What I want to... | g47649 | [
0.04472306743264198,
0.015320338308811188,
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-0.023896604776382446,
0.019865332171320915,
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0.03922261670231819,
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-0.024336354807019234,
0.05748544633388519,
0.04884599149227142,
-0.002194067230448127,
... |
<p>I browsed through lots of literature on <strong>Linear Discriminant Analysis</strong> on the web. I can say that, I have understood most of it.</p>
<p>This is what I understood. You take the data, calculate mean of the <strong>data</strong>, <strong>mean per class</strong>, <strong>scatter between classes</strong>,... | g61343 | [
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0.050401702523231506,
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-... |
<p>@vucko gave me excellent <a href="http://stats.stackexchange.com/a/24387/9722">answer on my question</a>, unfortunately using Mathematica code. I'm trying to rewrite it in R and I'm lost in R functions providing kernel density estimation.</p>
<p>I have bivariate dataset with more than 46,000 rows (so I am also look... | g61344 | [
0.030289459973573685,
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0.02331509254872799,
0.04319513216614723,
0.013528766110539436,
0.06498520821332932,
0.0... |
<p>The problem I am working on can be formulated as follows:</p>
<p>$S$ is the set of events $X_i$'s where each $X_i$ has occured different number of times. Also, if you think this process in turns; in each occurance of $X_i$, it is followed with one of the events $Y_{i,j}$'s. What I want to investigate is whether on... | g61345 | [
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0.013967007398605347,
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0.04... |
<p>Assume I've built a recommender system that (given say movie rankings or whatever of many users) will produce a list of 10 recommended movies for each user to watch.
Imagine that I also have some large pool of movie items, together with a log of user ratings together with movies that they actually decided to watch. ... | g61346 | [
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0.013003523461520672,
0.08631029725074768,
-0... |
<p>I understand the EM algorithm, I understand for example how we get $Q(\theta, \theta^t)$, but I have trouble translating a real-world problem into the EM framework.</p>
<p>For example, I'm given this problem where each document $x$ is classified into a class $y$, where there are $M$ documents and $K$ classes. $V$ i... | g61347 | [
0.017635779455304146,
-0.04564610496163368,
-0.004296541679650545,
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0.05284583941102028,
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0.06223200634121895,
-0.00... |
<p>Self-organizing maps are claimed to be an approach for dimensionality reduction. However, I am kind of confused about this claim.</p>
<p>Consider the following example, I have a data set with 200 data points and each data point is represented by a feature vector with 1000 dimensions. Assume I would like to train a ... | g49617 | [
-0.019252492114901543,
0.05575810745358467,
0.014584106393158436,
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0.017848121002316475,
0.03677782043814659,
0.... |
<p>Is it possible to have two different methods of sampling from a bivariate normal distribution with a non-identity correlation matrix in such a way that one method would "consistently" result in a sample whose sample correlation matrix is closer to the correlation matrix of the distribution? I do not have a precise d... | g474 | [
0.0218547023832798,
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0.04491530731320381,
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0.032044682651758194,
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0.... |
<p>What do I do when none of the predictor variables are significant? All the p-values are greater than the significance level of 0.05.</p> | g9825 | [
0.0077849337831139565,
0.006388167385011911,
-0.011570209637284279,
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0.02093818038702011,
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-0.05822911486029625,
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0.01141145545989275,
0.0... |
<p>I have some data with mean and confidence interval at 95% exclusively (I do not have the rough values), and I would like to calculate the Standard deviation of these population.</p>
<p>For example:</p>
<p>Population 1: mean=5.35 years and CI95%=5.1,5.59.</p>
<p>Which is the SD using R?</p> | g49618 | [
0.03105742298066616,
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0.02450338378548622,
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0.01991506852209568,
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-0.0122113898396492,
0.0018994701094925404,
0.02916005067527294,
0.053208038210868835,
-0.04... |
<p>I have 5 samples (from the same population). I want to calculate the Goodman-Kruskal gamma ($\gamma$) for the population, based on the gamma of the 5 samples ($G_i$). </p>
<p>Each data has 2 ordinal variables (X and Y), but the X's and Y's of different samples are not comparable, so I cannot put all the samples in... | g47658 | [
-0.00044344583875499666,
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0.000527155410964042,
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0.012726833112537861,
0.02709054760634899,
0.03759241849184036,
0.026134710758924484,
... |
<p>The data I'm analyzing has been collected and measured from about 2'000 animals.</p>
<p>For every animals, I have a number of <em>discrete</em> values, like species, gender, colour etc., as well as some <em>continuous</em> values, like age, size, weight, and some medicinal values like the level of some specific che... | g49375 | [
0.050439607352018356,
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0.10178796201944351,
... |
<p>I am a newbie in this area so I hope someone could explain the following problem to me in plain English.</p>
<p>Assume I want to use MAP to estimate some parameters on the basis of some observations. I know the method of computing MAP is:
$$
\theta(x) = {\rm argmax} \ f(X|\theta) g(\theta)
$$</p>
<p>where $g$ is... | g61348 | [
0.012205592356622219,
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0.014771530404686928,
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0.06593910604715347,
0.001001994009129703,
0.030490167438983917,
0.050348442047834396,
0.031... |
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