question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>My question is about logistic regression, and I want you to advise me to use the appropriate method for my problem.
Here is the description:</p>
<p>My goal is to determine the risk factors for a disease (a virus) which has many types. One individual can be infected with many types, and every type has a "rated risk"... | g58527 | [
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<p>I read an article that says the dependent variables in a regression model must be normally distributed. The way i understand it, is that the observations for the regression model must then be normally distributed. Or in other words if i choose sample data from a population then the sample must be normally distribute... | g49428 | [
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<p>I'm working on a review paper and need to collect the means and standard deviations of a given measure (such as a measure of depression) from papers of interest. However, some authors report means and standard deviations for each item on the measure, but do not calculate the overall mean and standard deviation. For ... | g58528 | [
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<p>Let $\mathcal{H}\colon\mathbf{w}\cdot\mathbf{x}+b=0$ be a separating hyperplane, which some binary linear classifier results in. Let $\mathbf{x}_t$ be an unseen, new sample that appears and needs to be classified. We can predict the truth label of $\mathbf{x}_t$ simple by computing the sign of the distance between $... | g58529 | [
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<p>I am using the diana() function in R from the "cluster" package to cluster some data. To plot the result I use pltree():
pltree(diana(data.dist))</p>
<p>So the problem is that I have 3 brances in one node (4th split). It seems confusing to me, because DIANA should divide cluster into two at each step.</p>
<p>I tri... | g13637 | [
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<p>I'm using R to calculate the two-sample test for equality of proportions, where the two proportions are 350/400 and 25/25. So:</p>
<pre><code>> prop.test(c(350,25),c(400,25)) ... | g13638 | [
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<p>I'm really struggling with bivariate copula's. Long story short, I can only use Gaussian copulas. I'm therefore interested in the joint PDF for which the Gaussian copula can be applied.</p>
<p>So for example:</p>
<ul>
<li>The Gumbel copula is used for extreme distributions.</li>
<li>The Gaussian copula is used for... | g58530 | [
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<p>I would like to know how the treatment of weights differs between <code>svyglm</code> and <code>glm</code></p>
<p>I am using the <code>twang</code> package in R to create propensity scores which are then used as weights, as follows (this code comes from the <code>twang</code> documentation):</p>
<pre><code>library... | g13640 | [
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<p>I am learning pattern recognition. But in the book I am reading there is almost exclusively a theory with few examples. Is there a special book / web site etc, with a lot of tasks covering all main topics of pattern recognition? I understand the theory, but I need practice so I'd like to find a book with list of pr... | g37771 | [
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<p>I am attempting to build a Walsh-Fourier spectral density and it appears that it is first required to compute the logical covariance which in turn involves a dyadic add.</p>
<p>I am not at all familiar with dyadics or their operations and introductory references are hard to come by.
In <a href="http://www.jstor.or... | g42600 | [
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<p>I have generated a nonparametric percentiles bootstrap confidence interval ($32.27143, 51.08571$), and a BCA confidence interval ($33.26, 53.49$) with an initial sample size of $n=7$. Evidently, the BCA interval is larger than the percentiles interval. Shouldn't the BCA interval be better than the percentiles inter... | g58531 | [
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<p>I have 299 surveys collected from 299 individuals working at 26 different locations. I want to understand how the location specific features relate to the individual survey scores. The only inference I have as to location features is gathered from the individual survey scores. Is it a valid strategy to calculate m... | g42602 | [
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<p>I am attempting to make some regression trees with many potential independent variables which comprise both categorical and continuous data types of widely varying scales</p>
<p>i have been using a few different methods of modelling with different validation methods</p>
<p>ANNs,
Decision trees,
Boosted trees.</p>... | g58532 | [
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<p>Following what is suggested here <a href="http://stackoverflow.com/questions/7157158/fitting-a-zero-inflated-poisson-distribution-in-r">http://stackoverflow.com/questions/7157158/fitting-a-zero-inflated-poisson-distribution-in-r</a></p>
<pre><code>> stat
x N
1: 0 478
2: 1 901
3: 2 1101
4: 3 873
5:... | g58533 | [
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<p>Can someone point me to a straightforward and comprehensible Bayesian discussion justifying AIC and/or BIC? Or even better, can someone give a self-contained such discussion in this forum?</p> | g13647 | [
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<p>Say I have two estimators for the same quantity and using the same model, $E[f(X)]$. I also know that these two estimators are consistent, meaning, if we have a lot of data, they will be close to the true $E[f(X)]$ -- but all of this under the assumption that the model is <em>correct</em>! MLE is one kind of estimat... | g42604 | [
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<p>I have a simple poisson glm with one predictor that has three levels. Unfortunately, for one level my response, the variable has only counts of zero. I expected very low counts (perhaps a one or a two at most). Because of one level having all zeros, neither my poisson glm, nor "zeroinfl" (from pscl), work. The glm t... | g4608 | [
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<p>I have a data set which fits a logNormal distribution quite well. (From a theoretical point of view, it is some hard-to-tackle quotient distribution).</p>
<p>However, the data is quite dirty, so parameter estimation is far from trivial.</p>
<p>Right now, my approach is the following:</p>
<ol>
<li>Shift the distri... | g58534 | [
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<p>I am not sure if this is the right place to ask this question (if not, please refer me to the right place), but it would be nice if someone could help me:</p>
<p><strong>Description of the Data/the Scenario:</strong></p>
<p>I have access to a huge amount of secondary data (>10000 cases) from a sourcing department ... | g58535 | [
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<p>I have a dataset I'm working on that has some co-variate shift between the training set and the test set. I'm trying to build a predictive model to predict an outcome, using the training set. So far my best model is a random forest.</p>
<p>How can I deal with the shifted distributions in the training vs. test set... | g58536 | [
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<p>I designed a Bayesian model and sampled the posterior using a MCMC algorithm.
My problem is that the posterior marginal distribution of a given latent intermediate variable appears to be uniform just as the prior I assigned to it. In practice this variable is supposed to have a substential importance on the model. ... | g58537 | [
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<p>I am trying to check what is the probability that a new observation is anomalous or not?</p>
<p>Suppose I have the following set of observations:</p>
<pre><code>x <- c(11,22,3,4,25,6,7,1,1,2,1)
</code></pre>
<p>where
the sample mean of $x$ is 7.545455
and the sample standard deviation is 8.489566</p>
<p>Suppo... | g58538 | [
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<p>Im working through a textbook atm and Ive read that the mean of "the sampling distribution of means" is the same as the "populations" mean.</p>
<p>To construct the sampling distribution of means, i need to take X * number of independent samples (where each sample is composed of >= ~30 observations) from the populat... | g58539 | [
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<p>I have a data set with 16 variables, and after clustering by kmeans, I wish to plot the two groups.</p>
<p>What plots do you suggest to visually represent the two clusters?</p> | g13652 | [
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<p>I have the summary of a logistic regression output in R. I used training data to make the model. </p>
<ul>
<li>How do I test the logistic regression model developed on the training data on the data left out?</li>
</ul>
<p>My naive guess is to create a function then run each test same through that (not even sure h... | g58540 | [
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<p>I'd like to use gelman.diag for an MCMC chain I ran in JAGS. It is very large, so I can't provide it.</p>
<p>The chain contains several MVN distributions, and I use a wishart prior on the precision matrix.</p>
<p>Just wondering what potential sources of this error might be?</p>
<p>Thanks you</p> | g58541 | [
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<p>I have code that calculates $R^2$ with summations $$R^2 = \frac{(\sum xy - \frac1n \sum x \sum y)^2}{(\sum x^2 - \frac1n \sum x \sum x) (\sum y^2 - \frac1n \sum y \sum y)},$$ which is equivalent to $$R^2 = \frac{cov(x, y) \cdot cov(x, y)}{var(x) \cdot var(y)}.$$</p>
<p>I know the code is correct by benchmarking, bu... | g58542 | [
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<p>Here is loop of actions I do very often in my machine learning research:</p>
<ol>
<li><p>Run an experiment with a certain configuration (a certain classifier with certain settings, etc.).</p></li>
<li><p>Look at the log file. Try to think what configuration to change in order to improve the results.</p></li>
<li><p... | g58543 | [
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<p>Using JMP, I was able to fit a distribution to a set of data, using the normal-2 mixtures model. It returns location (or mean), dispersion (standard deviation) and probability for each of the two normal distributions used to create the normal-2 mixtures. Now, I want to be able to take any data point from that popula... | g58544 | [
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<p>Consider the following demand and supply model:</p>
<ul>
<li>Demand equation: $q=a_1p+a_2y+e^d$ </li>
<li>Supply equation: $q=b_1+p+e^s$ </li>
</ul>
<p>The supply equation is identified because $y$ can be used as an instrument for $p$. </p>
<p>The demand equation is <strong>not</strong> identified as it s... | g58545 | [
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<p>I'm looking for a way to allocate people to either group A or B.
Data for the study group has 3 main variables:</p>
<ol>
<li>Age 65-90</li>
<li>Male or Female</li>
<li>APOE + or APOE – (this is a blood test)</li>
</ol>
<p>I then need to allocate them to either A (active tablet) or B (placebo).</p>
<... | g58546 | [
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<p>You experts have been helpful so many times that I read others' threads, but this time I have to ask a new question.</p>
<p>Long story short I need to <em>group all my cases into 4 categories</em>. Could someone please help me figuring out the procedure in spss?</p>
<p>(I have individuals' scores on 2 variables - ... | g13657 | [
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<p>I'm a huge football (soccer) fan and interested in machine learning too. As a project for my ML course I'm trying to build a model that would predict the chance of winning for the home team, given the names of the home and away team. (I query my dataset and accordingly create datapoints based on previous matches bet... | g58547 | [
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-... |
<p>Suppose we done K-Means and got K centroids of clusters and we want to tag new points based on those K centroids. </p>
<p><strong>UPDATE:</strong> These K centroids are given to me, so I can't go for another clustering algorithm. Also I have a large number of 2d points and a big k, so it's very important to get app... | g58548 | [
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<p>Variance has the following properties:</p>
<ol>
<li>$Var(cX)=c^2Var(X)$</li>
<li>For independent variables $Var(X+Y)=Var(X)+Var(Y)$.</li>
</ol>
<p>Range of a rv has the following properties:</p>
<ol>
<li>$Range(cX)=|c| Range(X)$</li>
<li>For independent variables $Range(X+Y)=Range(X)+Range(Y)$.</li>
</ol>
<p>Ent... | g58549 | [
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<p>I've calculated the following ANOVA table for a linear regression in R: </p>
<pre><code>anova(lm(mpg ~ drat, mtcars))
Analysis of Variance Table
Response: mpg
Df Sum Sq Mean Sq F value Pr(>F)
drat 1 522.48 522.48 25.97 1.776e-05 ***
Residuals 30 603.57 20.12
---
</code></pre>
<p>I'm wondering how the d... | g58550 | [
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<p>Suppose I have some time series. I already removed seasonality, so it consists of trend, some events and error. </p>
<p>I need to find the events, their length in periods,and their strength they had on the trend.</p>
<p>My idea is to divide data into several "windows", and calculate the length and strength</p>
<p... | g58551 | [
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<p>All -</p>
<p>I have a dataset originated from a practical setting, but it is not clear to me how to interpret it. Let me try to frame the setting and see if it makes sense:</p>
<p>A manufacturer produces a type of product that use noise level (dB) as one of its quality metrics. All products during a production cyc... | g427 | [
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... |
<p>I am familiar with the power transform family and I know how to estimate the MLE for $\lambda$ for given samples of a random variable. I have been using the 'boxcox' function in R for a sample of a random variable that depends linearly on a latent variable (i.e. a linear model) and it works very well. The problem is... | g58552 | [
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0.014109676703810692,
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0.02... |
<p>I am testing the relationship between two variables (Similarity index; Years patenting) on a binomial dependent variable via a Logistic regression in SPSS.</p>
<p>I tried two models as you can see bellow in the links. In the first model I tested, only one variable (Years patenting) was shown significant. In the sec... | g13662 | [
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<p>I would like to understand if there exists any method to find confidence interval for the parameters of inverse gamma distribution. Thanks in advance!</p> | g13663 | [
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<p>What would be the most efficient way to report test results from several paired t-tests in a scientific paper? If I gave a bar graph per test result (something like <a href="http://abacus.bates.edu/~ganderso/biology/resources/writing/HTWGREX4.gif" rel="nofollow">this</a>) would it be too much? Should I do a table in... | g58553 | [
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<p>I want to estimate the effect of randomly assigned intervention. The outcome is measured at the individual level, but the individuals are assigned to groups which influence eachother a lot, and it is the groups which are assigned to treatment or control.</p>
<p>I need to test the null hypothesis that the intervent... | g58554 | [
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<p>My question is as follows. I am referencing the following paper by David Cassell - wherein David talks about bootstrapping techniques in SAS using PROC SURVEYSELECT (many thanks to David - truly a seminal piece of work):</p>
<p><a href="http://www2.sas.com/proceedings/forum2007/183-2007.pdf" rel="nofollow">http://w... | g58555 | [
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<p>I have some doubts about which performance measure to use, area under the ROC curve (TPR as a function of FPR) or area under the precision-recall curve (precision as a function of recall).</p>
<p>My data is imbalanced, i.e., the number of negative instances is much larger than positive instances.</p>
<p>I am using... | g13666 | [
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<p>I have a 4 x 4 x 2 x 2 x 2 repeated measures design and I'm trying to test a contrast for just the first variable (here called "SOA"), averaging over the others, in SPSS.</p>
<p>Initially, I thought it would simply be entered into syntax as:
/WSFACTOR=SOA 4 special(1 1 1 1, 1 -3 1 1)</p>
<p>But I get back a messag... | g13667 | [
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<p>I would like to use a causal network modelling to model the interaction of several variables and the effects of interventions. I have measurements for all priors of the model, that is without any interventions, and a well defined structure as DAG. Also, assume there are no hidden variables. </p>
<p>We have the poss... | g58556 | [
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<p>In linear regression, the $R^2$ value is the square of the correlation between predicted values and observed values. But why do we need the $R^2$ value? Why not just use the correlation coefficient? Just like the correlation coefficient, $R^2$ is scale-less (i.e. values are always between 0 and 1), so I can't see wh... | g58557 | [
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<p>I have a number of samples. For each, there is a time course of multivariate data defined, with $t$ timepoints ($t < 50$) and $n$ variables ($n > 100$). We have noted that the time courses of a certain further variable $X$ <em>seem</em> to split this group of samples in two. We would like to use the $n \times ... | g4705 | [
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<p>I am using standard logistic regression for classification with reasonable results. As expected I get a probability of 0.5 for query points "far away" from the data. However I would like to assign these points to one of the classes (or to a third class if that is easier).</p>
<p>Is this possible? </p> | g22593 | [
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<p>I need to show that constraining the sum of group level fixed effects (in this case, zero) has no effect on the coefficients of the regressors. My intuition is that each constrained d_i is a perfect linear transformation of the non constrained constants. I looked in Greene, and Cameron and Trivedi, but I did not fin... | g58558 | [
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<p>I am solving the dual QP of an SVM, and using the RBF kernel. As you know, the objective function is of the form $$f(\alpha) = \alpha^T Q \alpha $$
where $\alpha$ is the optimization variable and $Q$ is some positive semidefinite matrix. When $Q$ is dense, I wish to see what cvx (or any other optimization packages i... | g58559 | [
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<p>I have a model that has two significant main effects and where the interaction between the two variables (age and %gray) is also significant in a multiple regression. When the interaction (age * %gray) is present in the model, the beta of age changes sign with respect to the model where the main effects alone are in... | g58560 | [
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<p>Suppose I have a matrix compose of row as each observation, column as each property and I want to calculate the distance between each observation.</p>
<p>In this case I think I should normalize each column, instead of row, to a unit vector? I think that would make more sense since each column can have different uni... | g58561 | [
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<p>I am attending a qualitative methods conference in social science, and one of the speaker argues the following.</p>
<p>In the two graphs below, a researcher using regression would see two regression lines with identical slopes and different intercept -- thus, he would not detect any difference.</p>
<p>In contrast,... | g49531 | [
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<p>i work with R <code>caret</code> software package to select the most important features from some set of data.
My response is a factor of multiple classes (e.g. nominal Attribute) and my features are nominal as well as numerical.
I read in the software manual that <code>rfe()</code> works as following</p>
<blockqu... | g13675 | [
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<p>I'm trying to implement a GMM/HMM for phoneme recognition where I have for each phoneme a 3-state left to right HMM model with start and end states with no emission. The emission probabilities are modeled with Gaussian mixtures. </p>
<p>I'd like to build an HMM architecture as proposed in paper "Speaker-independen... | g58562 | [
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<p>I want to know if it is possible for a library in R to evaluate the association of independent variables and create a formula? I am trying to come up with a model to predict power consumption of a machine, using some hardware counters and performance attributes. When I use linear regression, I have no problem since ... | g58563 | [
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<p>Is there any connection between sum of squared error SSE and the absolute deviation from the centroids after clustering.</p>
<p>More formally, I have clustered $T=\{x_i\}, i\in\{1,\ldots,n\}$ and the results are $c$ clusters: $T^C=\{C_j\}, j\in\{1,\ldots,c\}$ (As a side note, I appreciate your comments on the notat... | g4734 | [
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-0.0... |
<p>I understand we should use ARIMA for modelling a non-stationary time series. Also, everything I read says ARMA should only be used for stationary time series.</p>
<p>What I'm trying to understand is, what happens in practice when misclassifying a model, and assuming <code>d = 0</code> for a time series that's non-s... | g58564 | [
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<p>I have a exponential trendline that was generated by excel ("Add Trendline") on a chart.</p>
<p>I've plugged in the equation (from the "Display Equation on Chart" option, up to 14 decimals) into a spreadsheet and compared the projected values with those values projected by the GROWTH and LINEST functions. In my com... | g42304 | [
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0.0039669... |
<p>I'm fitting a logistic regression model to predict probabilities from a set of variables. I'm comparing two such models, say <code>M1</code> and <code>M2</code>. The only difference is that <code>M2</code> includes all the variables of <code>M1</code> plus a few more variables. The idea is to see which variables are... | g58565 | [
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0.0... |
<p><strong>Background:</strong></p>
<p>I have been tasked in one part of my analysis to reproduce a method used in another study as follows in bullet points form:</p>
<ul>
<li>Microarray data from a number of time points</li>
<li>Calculate correlation between two subsets of genes, set 1 and set 2</li>
<li>On the basi... | g58566 | [
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0.020601561293005943,
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<p>I've been using k-means to do some clustering and one of the ideas I'm struggling with is the n dimensions aspect. If I were clustering housing prices vs sq. feet its just a simple 2d graph. That I can visualize and it makes sense.</p>
<p>Where it gets difficult is when it's more than 3 features. If I understand pr... | g58567 | [
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0.03... |
<p>I want to fit a mixture of two gaussian densities to my financial data. The data can be found here: <a href="http://uploadeasy.net/upload/2a7mw.rar" rel="nofollow">http://uploadeasy.net/upload/2a7mw.rar</a> the variable is called dat.</p>
<p>The probability density of a mixture is given by:
\begin{align}
f(l)=\pi \... | g44506 | [
0.03553202748298645,
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0.05186077207326889,
0.004827488679438829,
0.05418127775192261,
... |
<p>I know this is a really simple one, but for some reason I see various ways and I'm not sure which one should I follow.</p>
<p>So - I have $Y_1,...Y_n \sim U(1,3)$ and I want to know $P(y<c)$.</p>
<p>The answer that I have for this (and it's different from how I see in Wiki) is:
$c+\int_1^c 0.5\,dy $</p>
<p>Is ... | g58568 | [
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0.06797108799219131,
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0.0... |
<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/20537/trouble-applying-hidden-markov-models">Trouble applying hidden Markov models</a> </p>
</blockquote>
<p>Hi and Happy New Year everyone!</p>
<p>I’m having a problem applying hidden Markov models to a ... | g49532 | [
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0.014962362125515938,
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-0.0004974767216481268,
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0.030518075451254845,
0.042547740042209625,
... |
<p>I have a planner that can evaluate N arbitrary states, and calculate their fitness. The domains it evaluates have no explicit "end state", so it has an infinite horizon.</p>
<p>What are good methods for calculating when it should stop evaluating states?</p>
<p>My current approach is to estimate the probability of ... | g58569 | [
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... |
<p>I am using the lm() and princomp() functions in R to perform regressions on foreign exchange time series. I would like to weight the regressions (and PCA) such that 50% of the influence on the regression comes from the past 3 months, 25% from the previous 3 months, etc, but in a smooth fashion. Both functions take s... | g58570 | [
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0.0... |
<p>If I have a multivariate normal i.i.d. sample $X_1, \ldots, X_n \sim N_p(\mu,\Sigma)$, and define $$d_i^2(b,A) = (X_i - b)' A^{-1} (X_i - b)$$ (which is sort of a Mahalanobis distance [squared] from a sample point to the vector $a$ using the matrix $A$ for weighting), <strong>what is the distribution of</strong> $d... | g13682 | [
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0.03075176477432251,
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0.009122295305132866,
0.0063417707569897175,... |
<p>I am trying to compare the coefficients of two panel data regressions with the same dependent variable. What I am aiming at is the following:</p>
<pre><code> y1 = c + β x
y2 = c + β x
</code></pre>
<p>In Stata</p>
<pre><code> xtreg y1 x i.z
xtreg y2 x i.z
</code></pre>
<p>I want to check whether th... | g58571 | [
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<p>I am interested in building a linear discriminant function to discriminate between 2 groups, out of 60 variables. (I'm planning to select the most discriminative of the variables for a future diagnostic test.) I have calculated the area under the ROC curve for each of these variables individually and none have an AU... | g13686 | [
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<p>I am trying to estimate a selection model of the form:</p>
<p>$Z_i = 1[\alpha_0 + \alpha_1X_{1,i} + \alpha_2X_{2,i} + \delta_i$ > 0]</p>
<p>$Y_i = \beta_0 + \beta_1X_{1,i} + Z_i + \epsilon_i$</p>
<p>where $1[]$ denotes the indicator function.</p>
<p>The purpose of the model is to calculate the indirect effect of... | g58572 | [
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0.03331711143255234,
0.0238... |
<p>I am trying to make prediction of students course score with neural networks. I have lots of parameters may affect to one course score like sex, GPA and many previous course scores.</p>
<p>Before trying to make a neural network model I should make a feature selection, I guess. For example ABC440 may be affected ABC... | g58573 | [
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0.005751598626375198,
0.004023799207061529,
0.03... |
<p>I'm currently analyzing my data for one of my studies for my PhD dissertation in psychology. I'm hoping someone can help me with a problem I'm having...</p>
<p>I've conducted a study in which participants play poker for one hour. I'm analyzing their decisions and giving every decision they made a code. If a decisio... | g58574 | [
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0.01859886571764946,
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0.04325371980667114,
0... |
<p>Given $X_1$..$X_n$ and $Y_1$..$Y_n$ drawn from unknown distributions $F(x)$ and $G(x)$ respectively, statistical tests such as two-sample Kolomogorov-Smirnov, Cramer-von Mises, and Anderson-Darling tests have been devised to test the null hypothesis $\mathcal{H}: F(x) = G(x)$ using various test statistics.</p>
<p>B... | g13691 | [
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-0.0... |
<p>I came across this in the <a href="http://en.wikipedia.org/wiki/Factor_analysis" rel="nofollow">Wikipedia page</a> about Factor Analysis. Is that true that <em>direct oblimin rotation results in greater eigen values</em>? If that is true, what's the reason behind it and does it generalize to other <strong>oblique</s... | g58575 | [
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0.012731265276670456,
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0.07824049890041351,
-0.... |
<p>I have a bunch of data in the following format:</p>
<pre>
Count|| Fruit |Fruit Col.|| Veget. |Veg.Col.|| Spice
---------------------------------------------------------
123 || Apple | Red || Carrot | Orange || Cumin
20 || Apple | Red || Carrot | Green || Pepper
... 20K more combinations...... | g58576 | [
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-0.005202203057706356,
0.04343132674694061,
0.007595242466777563,
0.062411192804574966,
... |
<p>I am new in PMML, <a href="http://www.dmg.org" rel="nofollow">Predictive Model Markup Language</a> and I was wondering if there is some kind of Java support (Open Source / professional) for creating/parsing PMML files.</p>
<p>Initially I only have in mind the possibility of creating/parsing PMML files programatical... | g58577 | [
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0.03638937324285507,
-0.... |
<p>I have carried out this linear regression that includes month coded as a dummy variable:</p>
<pre><code>library(plyr)
set.seed(1)
y <- rnorm(120)
x1 <- c(rep("adult", 60), rep("juvenile", 60))
x2 <- c(rep("male", 60), rep("female", 60))
x3 <- unlist(llply(month.abb, function(x) rep(x, 10)))
summary(lm(... | g58578 | [
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0.0... |
<p>hopefully someone has an idea regarding the following problem: </p>
<p>I did a multiple imputation using the mice package - now just one step is left: I want to generate final and "valid" imputations for my NAs. How can I do that? With multiple imputation I get by default 5 datasets with different values. These I n... | g58579 | [
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0... |
<p>I've little background on SEM. Now I want to focus on its theoretical aspects like statistical model, model estimation and model evaluation. The seminal book on this topic is by Bollen: Structural Equations with Latent Variables. Unfortunately, this book is not in my access in my region. I wonder if there are any on... | g58580 | [
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<p>I was wondering what the difference between pooled OLS and random effects model is? I know that random effects eliminates the time-constant effect. </p>
<p>However, when i run my regression with pooled ols and random effects model I get different results. The pooled ols regression looks find where all the variables... | g21403 | [
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-0.013342222198843956,
0.0160929374396801,
0.034546613693237305,
0.03089185431599617,
0.0226425... |
<p>I'm doing a real recreation of the annual tree growth from tree-ring measurements, and I have many problems working with graphs and their margins. I have done the two graphs separately and these work fine, but at the moment to put them together, it doesn't work! and if it is possible I would like also save this as G... | g21404 | [
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0.03862521052360535,
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... |
<p>I understand that NHST assumes the null hypothesis is true, and that we can't infer from a low-value that a null hypothesis is necessarily false. However, is it fair to say that the p-value tells us <em>nothing</em> about the conditional probability $Pr(H_0 = T|T_{obs})?$</p>
<p>If it is fair to say that p-values t... | g9126 | [
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0.027467017993330956,
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0.049418482929468155,
0.... |
<p>I am looking for a Stata (or R/Matlab if there's no Stata) implementation of the model described by Greene (1994) (<a href="http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1293115">http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1293115</a>).</p>
<p>It is essentially a Heckit for ZINB instead of OLS.</p>
<... | g58581 | [
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<p>Given a document-term matrix $X$, where $$X(d, t) = \textit{occurrences of 't' in 'd'}$$, it's possible to compute it's Truncated Singular Value Decomposition:$$X_k = U_k \Sigma_k V_k^T$$
Then, for a document profile $d$ (i.e. the vector of occurences in that document), it is possible to compute a 'predicted' docume... | g58582 | [
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0.05301786959171295,
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0.06451372802257538,
0.00... |
<p>What is the proper way to measure significance in an A/B test, when a visitor can potentially "convert" more than once?</p>
<p>I understand a chi-square test or z-test are most often used for A/B testing, but from what I understand that is only if it is categorical, like if a visitor purchased or not.</p>
<p>In my... | g13701 | [
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0.05454055964946747,
0.04056063... |
<p>Let us assume that we have a random number generator given by its probability density function. Now, we need to use this distribution to generate a number that has the following property. It minimises the root mean square deviation between itself and random numbers generated by the considered distribution.</p>
<p>M... | g13702 | [
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0.0029476440977305174,
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0.04705837741494179,
... |
<p>I'm new to mixed modelling and i'm confused as to whether its appropriate to use a random effect in an analysis I'm doing. Any advice would be appreciated.</p>
<p>my study is testing how well a newly developed index of mammal abundance can predict the value of an established but more labour intensive index. i've be... | g42952 | [
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... |
<p>I have a model that predicts the probability of an event occurring, and then based on a given return if the event occurs, calculates the expected value. If the expected value is positive, a wager is placed. If the event occurs, the outcome is the return, and if it does not occur the wager is lost. I have tested t... | g58583 | [
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0.00036013335920870304,
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-0.03570324927568436,
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0.00564221665263176,
0.006765903905034065,
0.04045436531305313,
0.0... |
<p>Before I start I would like to mention that I do NOT have a mathematical background, so please answer in a ... easy to follow manner.</p>
<p>I'm testing 2 sets of stock market data (Shanghai Stock exchange (SSE Composite index) and Hong Kong stock exchange (HANG SENG INDEX)).</p>
<p>I want to test for correlation ... | g58584 | [
0.055914539843797684,
-0.0024173150304704905,
0.0005180473672226071,
-0.0451178103685379,
0.03159148991107941,
0.011903151869773865,
0.008040442131459713,
-0.011875003576278687,
-0.028020331636071205,
-0.030870115384459496,
0.04383957013487816,
0.03948236256837845,
-0.014401998370885849,
-... |
<p>I want to perform system identification of an AR (2) system with a white gaussian signal using the LS estimation technique. Assuming the received signal is generated by channel model given by </p>
<pre><code>x(t)= 0.919*x(t-1) - 0.92*x(t-2)+n(t)
</code></pre>
<p>where n(t) is white noise.</p>
<p>I need to find th... | g58585 | [
-0.009512866847217083,
-0.09481368958950043,
-0.005915304180234671,
-0.01349774282425642,
0.04627225920557976,
-0.01475409884005785,
0.023758819326758385,
-0.01864699088037014,
0.0130308847874403,
0.030164381489157677,
-0.05957493185997009,
0.08333651721477509,
0.0804608091711998,
0.019131... |
<p>I'm trying to do LASSO in R with the package glmpath. However, I'm not sure if I am using the accompanying prediction function <em>predict.glmpath()</em> correctly. Suppose I fit some regularized binomial regression model like so:</p>
<pre><code>fit <- glmpath(x = data$x, y=data$y, family=binomial)
</code></pre>... | g13711 | [
0.03402061387896538,
-0.04475318267941475,
0.0005236706929281354,
0.05179489776492119,
0.025477886199951172,
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0.03026452846825123,
0.002540680579841137,
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-0.028677573427557945,
-0.02708892710506916,
-0.007070697844028473,
0.06606317311525345,
-0.0... |
<p>Should I be concerned about multicollinearity in nonparametric statistics?</p> | g58586 | [
0.03554076701402664,
0.04934456944465637,
0.004867056850343943,
0.004081942606717348,
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-0.03795802593231201,
-0.024508019909262657,
-0.05487126111984253,
-0.01056601945310831,
... |
<p>What type of analysis do I need to understand and/or gain information from a set of data?</p>
<p>For example, I have students' data for SATScore, HighSchoolGPA, HighSchoolRank, etc., and FreshmenGPA.</p>
<p>Now I want to develop a model which tells me which of the criteria are important for FreshmenGPA and by how ... | g13712 | [
-0.029905028641223907,
-0.046284884214401245,
-0.011033039540052414,
0.006193298846483231,
0.05584164708852768,
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0.0331752635538578,
-0.0027939139399677515,
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0.019414853304624557,
-0.00360812246799469,
0.01570695824921131,
0.04675000533461571,
0... |
<p>Say I have a categorical random variable $X$ over a discrete label space $L$ = {Sky, Road, Tree, Unknown}. In other words each $X_i \in L$.</p>
<p>Now I store the parameters of each $X_i$ which are the individual probabilities i.e P(X_i = Sky), P(X_i = Road), ...$.</p>
<p>Now say say I have several of these $X_1, ... | g58587 | [
-0.0553298220038414,
0.0035845241509377956,
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-0.034457750618457794,
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0.05289514362812042,
0.0026634675450623035,
0.00875879917293787,
0.05342595651745796,
0.0... |
<p>I have two sets of features predicting the same outputs. But instead of training everything at once, I would like to train them separately and fuse the decisions. In SVM classification, we can take the probability values for the classes which can be used to train another SVM. But in SVR, how can we do this?</p>
<p>... | g58588 | [
0.0007321315933950245,
0.006917542777955532,
0.013811253011226654,
0.022402148693799973,
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0.013097033835947514,
0.08145523816347122,
0.0... |
<ul>
<li><p>I realize that decision trees are nonparametric methods</p></li>
<li><p>What should residual vs. actual/fitted look like for a well behaved regression tree?</p></li>
<li><p>My argument would be that since each observation assigned to a terminal node is assigned (as a predicted value) the average of the depe... | g58589 | [
0.03558912128210068,
-0.03833666443824768,
-0.007151492405682802,
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0.0675666332244873,
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0.02239205129444599,
0.04333562031388283,
0.07765284925699234,
0.020250... |
<p>I have 10 iPads. I am logging the number of times an app is crashing each day for each of these iPads. The number of crashes tends to be skewed towards just a couple of the devices such that taking an average will not give anything meaningful. What type of equation should I use to get some meaningful data related to... | g58590 | [
-0.025829985737800598,
0.0027382206171751022,
-0.0091888178139925,
0.008478223346173763,
0.03109942190349102,
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0.033159393817186356,
0.00351698137819767,
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-0.04464465007185936,
-0.016762280836701393,
0.004691309295594692,
0.11512373387813568,
0.053... |
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