question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>Anyone could give me a data for Regression. The data must have 1 response, Large number of predictor and have small observations. i searched about this kind of data, and maybe microarray dataset are like this. so, anybody could give me a microarray data? Thank You </p> | g58167 | [
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<p><strong>Background</strong></p>
<p>I have developed a recent interest in Item Response Theory and its applications. I am studying clinical psychology and am most interested in polytomous models aimed at modelling psychopathology (e.g., a depression measure that uses likert scales). Specifically, I am interested in ... | g58168 | [
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<p>I'm trying to model some chemical data from a series of spectra. I've gone through the preprocessing step and selected "autoscale" (I'm using Pirouette). And when it comes to validation I'm a little confused as to which one (step or cross) will yield a model that has a good predictive capability. Any insight woul... | g13125 | [
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<p>I have a mixed design ANOVA, with a 2 level between-subject and a 7 level within subject variable. What is the appropriate post-hoc test after a significant ANOVA?</p>
<p>I'd like to see R code in the response.</p> | g49523 | [
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<p>I'm looking for a non-parametric (!) alternative to the Friedman test. I have > 2 subjects and measured one quantity per subject. I want to know whether there is a significant difference between any of these subjects. Please note that I used the Friedman test before because there were repeated measured per subject.<... | g58169 | [
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<p>I have written a binary classification in MATLAB, using <code>libsvm</code>.</p>
<p>The code is the following:</p>
<pre><code>model = svmtrain(trainingSet.labels, featureVectors,'-q');
[crossValidationPredictedLabels, accuracy, ~] = svmpredict(crossValidationSet.labels,...
... | g58170 | [
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<p>I will need to present a project to non-statisticians in an upcoming conference and I would like to include a quote that I have read at one point that makes the comparison between statistics and a machine which processes ore. The reason is that I want to emphasize a certain connection between the capabilities of sta... | g58171 | [
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<p>I have a dataset composed of observations taken from 16 separate experimental panels, each nested into one of 4 conditions (Treatment A Level 1, Treatment A Level 2, Treatment B Level 1, Treatment B Level 2; see photo: <a href="http://imgur.com/ZbzFPNq" rel="nofollow">http://imgur.com/ZbzFPNq</a>). There are 100 obs... | g58172 | [
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<p>I have a large co-occurrence network where nodes refer to word terms. We create a relation between "Term 1" and "Term 2" if both terms co-occur in the same sentence. For each pair we also have co-occurrence frequency (i.e., number of sentences where pairs occur).</p>
<p>Now I want to calculate which pairs occur tog... | g58173 | [
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<p>I have a study with the following data and I would like to calculate if there is or isn't any statistically significant difference between the 4 groups:</p>
<pre><code>Test Patients Negative NoDimer PotNeg Total
W 317 (79.3) 12 (3.0) 194 19 31 (7.75)
WS 271 (67.8) 11 (2.75) 155 15 ... | g27340 | [
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<p>As per my understanding in dimensionality reduction, Feature selection chooses a subset from a list of available variables and, Feature extraction transforms available variables into lower dimension. How exactly does the transformation work? Is it like an interaction term of two or more variables?</p>
<p>Could anyo... | g15109 | [
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<p>At a university 60% of the students are male and 40% are female. If ten students are selected at random,</p>
<ol>
<li>What is the probability that we have exactly seven females?<br>
I tried $0.4^7\cdot0.6\cdot3 = 0.00294912$ for this.</li>
<li>What is the probability of selecting at least seven females?</li>
</ol>
... | g58174 | [
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<p>What is the difference between regression analysis and response surface analysis?<br>
When should one use response surface?</p> | g13130 | [
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<p>I am not too sure how to use K-NN to calculate the error on this data set (as shown below).</p>
<p>Any help would be appreciated.</p>
<p><img src="http://i.stack.imgur.com/QyFHv.png" alt="enter image description here"></p>
<p>Source: <a href="http://imgur.com/WqbsYDu" rel="nofollow">http://imgur.com/WqbsYDu</a></... | g58175 | [
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<p>How can I call residuals out from function <code>cv.lm</code>?</p>
<p><code>cv.lm$ss</code> gives me the cross validation sum of squares, but I need individual residuals from each fold. </p>
<p>Is it possible to call out? </p> | g58176 | [
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<p>I have two groups (experimental, N=6, and control group, N=20). For each participant I measured a score (let say mean reaction time) 4 times. I would like to check:</p>
<ol>
<li>whether these groups differed in the beginning (Time 1)</li>
<li>whether the score changes in time (for control group)</li>
<li>compare th... | g13133 | [
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<p>I have a friend who is an MD and wants to refresh his Statistics. So is there any recommended resource online (or offline) ? He did stats ~20 years ago.</p> | g58177 | [
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<p>I don't know high level math or statistics and wanted to ask about the math in a recent online article. The website 'TheMarySue.com' has an article saying: </p>
<blockquote>
<p>ON AVERAGE, THE TOP WOMEN-LED FILMS OF 2013 GROSSED HIGHER THAN MALE-LED FILMS</p>
</blockquote>
<p>and then references this article th... | g13135 | [
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<p>I would like to determine what variables from this sample data would be best predictors for CallHandleTimeSeconds. </p>
<p>Im thinking it would be a combination of CreditRating, EligibleForAssistance, TypeOfCall, AmtInArrears but unsure about how to do this. I understand the process when all the variables are numer... | g58178 | [
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<p>I want to add a 95% confidence interval to standardised residuals QQ plot obtained from rugarch plot function.
I don't know how to add this confidence interval but check the QQ plot that I obtained:
<img src="http://i.stack.imgur.com/in63L.jpg" alt="enter image description here"></p>
<p>I extracted the standardised... | g58179 | [
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<p>Thanks to Tormod question (posted <a href="http://stats.stackexchange.com/questions/11892/plotting-changes-in-a-three-valued-ordinal-variable-across-two-time-points-using">here</a>) I came across the <a href="http://eagereyes.org/blog/2009/parallel-sets-released.html" rel="nofollow">Parallel Sets</a> plot. Here is ... | g58180 | [
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<p>I've come across several posts dealing with post hoc tests of Repeated Measurs ANOVA. I came up with the below code in R to attempt this, but considering some of the posts on this subject I wanted to get some feedback if what I am doing is correct. </p>
<p>I'm dealing with a time series data set, with repeated meas... | g27344 | [
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<p>If $X_1, ..., X_n$ are independent identically-distributed random variables, what can be said about the distribution of $\min(X_1, ..., X_n)$ in general?</p> | g49396 | [
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<p>I want to generate random numbers from one of the following distribution in C++. I haven't been able to find any libraries though. Do they exist?</p>
<p>In order of preference:</p>
<ol>
<li>Three parameter inverse Gaussian</li>
<li>Three parameter Lognormal</li>
<li>Three parameter Log-Logistic</li>
<li>Four param... | g58181 | [
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<p>Suppose we are using Simulated Annealing (SA) to minimize a cost function $L:\mathbb{R} \to \mathbb{R}$. Here is my algorithm:</p>
<blockquote>
<p>(1). Randomly choose a $x_0 \in \mathbb{R}$. Set $x=x_0$ and $T=T_0$.</p>
<p>for k=1:m</p>
<p>(2). Propose a new point $x_{new}$ by sampling $N(x, \sigma^2)$... | g42030 | [
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<p>I'm investigating associations between socioeconomic factors and dichotomous outcome. I use generalised linear models (GLM) with log link for Bernoulli family, i.e., modelling the prevalence ratio.
At the epidemiology course of K.J. Rothman & E.Hatch we were told, that goodness of fit tests are designed to predi... | g58182 | [
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<p>Are there any <strong>straightforward</strong> methods of transforming ordinal level data into interval level (just as there are for doing it the other way round)? And performable in Excel or SPSS?</p>
<p>Having the data, say:
10 questions on the ordinal level (say 0-5 scale, where 0="not at all", 5="all the time")... | g58183 | [
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<p>I know that we can use Spearman rho to measure the correlation between numerical variables. But how to measure correlation between categorical variables? Thanks</p> | g13145 | [
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<p>What methods would you recommend for testing whether a variable Y is the weighted sum of n, not necessarily independent, variables? Only m < n of these variables are known.</p>
<p>The problem is easy if the variables are independent. (In my setting their co-variance is close to zero).</p> | g58184 | [
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<p>In the interrupted time series regression, we are interested in the level change or trend change due to a policy change or an intervention event occurance. If the dates of those interventions are known, the model then can be expressed as </p>
<blockquote>
<p><sub> y = intercept + coef.time*time(t)+coef.interventi... | g58185 | [
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<p>I have 2 data sets: $A$ and $B$. The variables are common to both data sets with the exception of two, which are both missing in A. Let's call those two additional variables: $b_1$ and $b_2$. We can call the other variables $X = \{x_1, x_2, \dots , x_n\}$. </p>
<p>I would like to use $X$ to impute the correspon... | g13149 | [
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... |
<p>I am experimenting with neural networks in python with PyBrain. </p>
<p>Here is the problem I'm trying to solve:
Given a sorted list of integers of size 5, where each integer is in the range 0-12, determine whether at least two of the numbers are identical.</p>
<p>For example, [1,3,5,7,11] has 5 distinct numbers w... | g13150 | [
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0.01518110278993845,
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0.0086... |
<p>What quantity can be used to robustly estimate a specific variation of a sequence? </p>
<p>By "specific" I mean "dimensionless, per-unit" etc, that is, independent on units of measurement and independent on mean value.</p>
<p>I started from the normalized deviation, which is the ratio of sequence deviation to sequ... | g58186 | [
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0.0424053855240345,
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<p>I know the question can sound trivial, but I can't get the difference between simulation and forecasting. If I've understood well, a forecast of $k$ periods ahead, starting from period $T$, is obtained by treating the $k$ steps as missing and proceed with conventional Kalman filtering; that is, to treat the Kalman g... | g58187 | [
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0.0023167880717664957,
0.016674980521202087,
0.07601354271173477,
... |
<p>I want to find the sampling distribution of the mean of a sample of n Gaussian RVs with unknown $\mu, \sigma$ - conditional on the mean of the first k < n samples being known. Is there any chance of this being a t-distribution?</p> | g58188 | [
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0.011769055388867855,
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0... |
<p>I come from the computer science area but am new to machine learning / stats, so this question may be fundamental and easy.</p>
<p>I have time-series data (biological data), and, without getting into the problem domain, I am trying to predict future values from some set of features. One subset of my features are pr... | g48034 | [
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0.036243606358766556,
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0... |
<p>I am running regressions of the sort: </p>
<p>$$
y_{i}= \alpha + \beta T_{i} + \gamma G_{i} + \delta( T_{i} * G_{i}) + \rho X_{i} + \epsilon_{i}
$$</p>
<p>where $T_{i}$ is binary treatment variable, $G_{i}$ is binary variable that indicates whether or not observation $i$ belongs to a group of interest and, $X_{i}$... | g1746 | [
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0.0041425107046961784,
0.0818009153008461,
-0.0274492334574461,
0.0131... |
<p>I'm hoping this isn't a ridiculous question! Here goes...</p>
<p>I would like to visualise the range of uncertainty in a probability density function fit to observed data using Maximum Likelihood estimation. I have included a sketch to illustrate what I am aiming for (note this is not based on real data, just a ske... | g13155 | [
0.010185806080698967,
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<p>After reading several "tutorials" on SVD I am left still wondering how to use it for dimensionality reduction.</p>
<p>Here is my confusion in an applied setting. If I limit svd to only considering the first two singular values / vectors and "recreate" the matrix, the dimensionality is still the same (4 columns). Wh... | g49524 | [
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0.013335470110177994,
0.00992720015347004,
0.07524164766073227,
0.0262636... |
<p>What are the important rules to remember when solving problems involving looking up values in a standard normal distribution table?</p>
<p>Specifically,</p>
<ul>
<li>When finding the probability using the table, when should I use the $z$ to find a value and when should I use the probabilities to find a value?</li>... | g58189 | [
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0.02023736946284771,
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0.016801606863737106,
0.02... |
<p>Suppose I have a large sample from some distribution the form of which I do not know with certainty, though it would appear to be continuous and reasonably well-behaved (e.g. unimodal, differentiable) . Suppose I have compared the fit of a number of likely candidates and find some particular distribution – call it $... | g58190 | [
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<p>I wanted to create a predictive model of mortality after patients had undergone a surgical procedure. But I also wanted to avoid doing what most researchers do by first performing univariate analysis then using the variables that are found to be significant to perform multivariate analysis using some sort of step-wi... | g58191 | [
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0.015322347171604633,
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0.006... |
<p>I am confused about how to apply a transformation to my predictor/response variables to test curvilinear relationships. I read about log transformations, polynomials, quadratic functions. But I am not a statistician. How do I choose which to apply in my regression formula? </p>
<p>My hypothesis relevant in my indus... | g58192 | [
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0.043936364352703094,
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... |
<p>Probably a very simple question for practitioners but I am doing this the very first time:</p>
<p>I have written a programm for the estimation of a conditional variance model (HEAVY) of return data and an associated forecasting program. I now want to compare its performance with the traditional GARCH(1,1) model in ... | g58193 | [
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0.03268686309456825,
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0.015... |
<p>I want to examine growth for 38 participants. I have 2 scores at each of 3 separate phases of instruction - baseline, during instruction, and post instruction. Restated, I have 2 baseline scores, 2 instruction scores, and 2 post scores for each participant. All participants are in one group. </p>
<ul>
<li>How shou... | g58194 | [
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0.02447660081088543,
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0.0... |
<p>I have a time series and want to use AIC / BIC to decide which of the following model is most appropriate:</p>
<ul>
<li>A) AR(1), no constant with Gaussian innovation term </li>
<li>B) AR(2), no constant with Gaussian innovation term </li>
<li>C) AR(1), no constant with Student t innovation term </li>
<li>D) AR(2),... | g58195 | [
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0.03206269443035126,
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0.04992813616991043,
0.08045828342437744,
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<p>I have a conditional Laplace prior:</p>
<p>$$
\pi(\boldsymbol{\beta}|\sigma^2) = \prod\limits_{j=1}^{p}\frac{\lambda}{2\sqrt{\sigma^2}}e^{-\lambda|\beta_j|/\sqrt{\sigma^2}}
$$</p>
<p>and a marginal prior on $\sigma^2$, $\pi(\sigma^2)$.</p>
<p>I want to decompose this Laplace prior for a hierarchical representatio... | g58196 | [
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0.... |
<p>I am struggling with the following combinatorial problem related to research I am doing. </p>
<p>Take a binary sequence $(y_1, y_2, \ldots, y_n)$ of length $n$ with $x$ $1$'s, where the final $1$ is in location $t_x$ (in English: $t_x$ is the time of the $x$th event). Let the number of runs of length $2$ (allowing... | g3021 | [
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0.03212060034275055,
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0.03675159066915512,
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0.03048... |
<p>Question: Does the Neyman–Pearson lemma give instructions for how to construct the test when the outcome space is not monotonic?</p>
<p>I suspect the answer is NO, but I would like to: </p>
<ol>
<li>Get an affirmative answer that it is indeed NO.</li>
<li>If you have an alternative lemma for such cases (instead of... | g13164 | [
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... |
<p>I'm reading <a href="http://cseweb.ucsd.edu/~elkan/ECML2011LinkPrediction.pdf" rel="nofollow">this paper</a> about matrix factorization. In the paper they propose to use this factorization for the adjacency (or similarity) matrix $G$ using the following formulation: $G = U \Lambda U^T$ where $U \in R^{n \times k}$, ... | g58197 | [
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<p>How would I compare (posterior) probability estimates of a document from n classifiers trained separately on different datasets (the # of classes in each classifier is different). Is there a way to assign weights to the estimates so as to select the best match? [Is there alternate/better approach?]</p> | g58198 | [
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0... |
<p>I was wondering if data 2 SD from the mean is deleted as outliers, is it possible there after to report 0.01 significance values? Thanks!</p> | g58199 | [
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0... |
<p>Assume we model the probability of disease incidence. When an individual's predicted probability of incident disease, or absolute risk, is greater than a certain threshold, we start preventive measures. Therefore, model calibration is most important near the threshold, and for predictions far away from the threshold... | g58200 | [
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0.022409958764910698,
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<p>I have a statistic that assign values to categories of products. This statistic shows strong bimodality (see graph).
For analysis, I am trying to assign a value of that statistic to each product (edit: to perform a regression analysis in which products are observations). This is straightforward when product are in o... | g13167 | [
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0.07034660130739212,
0.016049... |
<p>I have been working in R the last few weeks and have been tinkering with forecasting/predicting values for the financial data.</p>
<p>Is there a good place to find out what the different variables represent? Such as m in caret package, size. C, degree, sigma, and scale. </p>
<p>For example I am trying to use the S... | g58201 | [
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0.02006629668176174,
0.03905816376209259,
... |
<p>I have a binary classification problem, where each data point is multi-channel time-series, which can be represented as a matrix $T \times F$, where $T$ is the time-series length, and $F$ as the channels number.<br/>
$T$ isn't constant - each data point has different length.
For classification I need to extract a fi... | g13169 | [
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0.008546527475118637,
0.017420565709471703,
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... |
<p>In a fairly complex survival analysis case with considerable missing data, I split the data set into training and testing and ran models for both complete cases and imputed cases (I used multiple imputation).</p>
<p>Although I ran the same model for all 4 cases, the parameter estimates and p values for some variabl... | g33437 | [
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0.0681297779083252,
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0.03... |
<p>I have a set of data I need to model using the following: </p>
<p>$$Y_i \sim N(\mu_i,\theta\mu^{2}_{i}) \quad \text{and}\quad \log \mu_i = \beta^{T}X_{i}$$</p>
<p>($\theta\mu_i^2$ is the <em>variance</em> of $Y_i$). I need to estimate the model parameters $\beta$ and $\theta$. I am not sure how to go about that.... | g58202 | [
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0.00416193110868334... |
<p>I work with highly unbalanced training sets, and I would like to measure the probability of having certain classifier accuracy by chance in order to measure statistical significances of the accuracies obtained. I want to measure this probability, taking into account the positive and negative frequencies of both the ... | g13177 | [
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0.03932158276438713,
0.04458429664373398,
0.01... |
<p>Consider the pdf </p>
<p>$$f(x)= \begin{cases} \beta x^{\beta -1 }\quad 0<x<1 \\ 0\quad \text{elsewhere} \end{cases} $$</p>
<p>for $\beta >1 $</p>
<p>Use the accept-reject algorithm to generate an observation from this pdf.</p>
<p>I have posited that this beta distribution is dominated by a uniform one ... | g13179 | [
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0.004030174110084772,
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0.015721701085567474,
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0.018457375466823578,
0.010132767260074615,
0.04162931069731712,
-0.03980516269803047,
-0.0... |
<p>I want to estimate a growth model to model the growth trajectories of individuals $j$ over multiple time points $t$ by applying a standard mixed/mutilevel model (also known as random coefficient model):</p>
<p>$$Y_{tj} = \beta_{0_j} + \beta_{1_j}A_{tj} + \beta_{2_j}X_{tj} + \beta_{3_j}Z_{tj} + e_{tj}$$</p>
<p>$$\... | g58203 | [
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0.0374881811439991,
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0.02223585732281208,
0.0... |
<p>I'm trying to fit a complex model to count data from a detector. I have background and background+signal data. My goal is to obtain information from the signal by fitting a Poisson with $\lambda = \lambda_{back} + \lambda_{sign}$.</p>
<p>The expected signal intensity $\lambda_{sign}$ at each pixel of the detector i... | g58204 | [
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0.02602970600128174,
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0.... |
<p>I'm having issues implementing a perceptron algorithm. I grab what I call a "seed" hyperplane for my data. That is, one I've calculated that somewhat separates the data correctly. In my case, this seed plane separated all but two samples correctly. From here, I'm having trouble though. I'm trying to implement a batc... | g58205 | [
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<p>I am using spss I am looking at a criterion-validity concurrent design. I had to transform two groups performance ratings into z scores because there were differences in how raters rated them on the same test. I correlated this scores with a personality test
Zperformance rating and personality test= .285*
--> Signi... | g13183 | [
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<p>I am spatially predicting binomial probabilities (using proportional data; <code>cbind</code> in R) across a spatial domain. I use the functions <code>get.models</code> followed by <code>model.avg</code> in the R package <code>MuMIn</code> to get averaged coefficients of models with delta AIC less than 2. This retur... | g58206 | [
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<p>If I have missing values in a time series that has 40 quarters (ten cycles or ten years) of data, what is the best SAS procedure to use to impute the missing values? </p>
<p>Part 2: I have 390 series (40 quarters each) that follow similar patterns -- most have missing data points (2-3 each), how do I make use of t... | g58207 | [
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<p>I have two separate and heterogeneous measurements of the same object. I wish to make predictions about the object state using both sets of measurements. </p>
<p>What ways can the measurements be combined within a regression framework in order to improve inference?</p>
<p><strong>EDIT</strong></p>
<p>What I mean... | g13185 | [
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<p>Does anybody know the meaning of average partial effects? What exactly is it and how can I calculate them? <a href="https://www.msu.edu/~ec/faculty/wooldridge/current%20research/ape2r8.pdf" rel="nofollow">Here</a> is a reference that might help.</p> | g13187 | [
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<p>I tried to test if I should normalize the dataset before doing distribution fitting.</p>
<pre><code>> a1 <- rgev(2000, loc= 0.449, scale=0.7423, shape=0)
> a1_scale <- scale(a1)
> fgev(a1, shape=0)
Call: fgev(x = a1, shape = 0)
Deviance: 5159.472
Estimates
loc scale
0.4619 0.7495
Stand... | g58208 | [
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<p>Background: I’m analyzing data with mixed-models (lmer in lme4) from an experiment that had RTs and Error Rates as dependent variables. This is a repeated-measures design with approximately 300 measurements for each of the 190 human subjects. The fixed-effects are 1 between-subjects experimental manipulation (dichot... | g58209 | [
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<p>What is the difference between likelihood and signed likelihood ratio tests (SLRT)? What is the use of having the "sign" function in it?
In short, what is the advantage of having SLRT over LRT?</p>
<p>Reference for SLRT:
Simple and accurate one-sided inference from signed roots of likelihood ratios
Thomas J. Dici... | g58210 | [
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<p>I am running the 3 models of the ADF (Augmented Dickey Fuller) test on a (ln total fertility rate) variable. The results:</p>
<ol>
<li><p>Intercept only: (lag difference = 0) at level;
<em>p</em>-value for <em>Z</em>(t) = 0.9672.<br>
This means that the variable is non-stationary, right?
Coefficient of <code>lnTFR.... | g13191 | [
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<p>I have a matrix <code>M</code> of float values, how to shuffle <code>M</code> line-wise?</p> | g58211 | [
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<p>I understand that data normalization allows us to take data and place it on a scale of [0,1]. Currently I'm working through a machine learning book and the author talks about normalizing data with preference to smaller or larger numbers.</p>
<p>Is there a formula in general to normalize data like this? As an exampl... | g58212 | [
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<p>I'm running experiements that record the time my algorithm takes to solve a set of problem instances on a particular benchmark. Each problem has an associated difficulty in the range [1, n]. Ideally these should be evenly distributed across the difficulty spectrum but this is not the case: the problem sample I have ... | g37551 | [
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<p>I have a simple set of data that looks like</p>
<pre><code>key thingID countOfThing NumberBadThingsHappen
1 xxx 64 200
2 xxx 20 10
</code></pre>
<p>What are some applicable tests to see if <code>countOfThing</code> and <code>NumberBadThingsHappen</code>... | g58213 | [
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<p>This may sound like a noob question but I'm unable to find any 'good' resources/examples on the same. The basic question is this: Most variables, depending on the problem will follow certain types of distributions. Normal/Gaussian <em>may not</em> be the most appropriate one for capturing certain types of phenomena.... | g13196 | [
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<p>I am studying the relatively classical model of selection to estimate the union wage premium, with two equations of salary and one two step equation of selection</p>
<p>$\ln(w_{1it}) = X^{'}_{it} \beta_1 + \epsilon_{1it}$</p>
<p>$\ln(w_{0it}) = X^{'}_{it} \beta_0 + \epsilon_{0it}$</p>
<p>$union^*_{it} = \gamma ... | g58214 | [
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<p>I have 3 categorical variables (CVa, CVb, CVc) all 0 or 1. Two continuous variables (IV1, IV2) are confounding my observational study. The multiple regression </p>
<pre><code>lm(DV ~ CVa + CVb + CVc + CVa:CVb + CVa:CVc + IV1 + IV2)
</code></pre>
<p>is showing great significance for CVa</p>
<pre><code> ... | g58215 | [
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0... |
<p>Does anyone know an approach to performing model selection in Weka through cross validation for regression problems? </p>
<p>As far as I can tell, the cross validation is implemented in Weka just to assess the performance of the classifier. I guess that calling Weka API from Java might solve the problem, but is the... | g42081 | [
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<p>We started with a set of 4,000 journals. These journals do or don't share certain qualities. We then created a vector between every journal A and every journal B. That gives me 4,000^2 or 16 million vectors. For each vector, I have calculated a z-score. The z-scores vary between -40 and 60, but most are between -1 a... | g58216 | [
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<p>Suppose an estimated simple linear regression equation is given as $$E[y| \textbf{x}] = \hat{\beta}_{0}+ \hat{\beta}_{1}\textbf{x}$$</p>
<p>Then the interpretation of the slope is as follows: For a unit increase in $\textbf{x}$, $E[y| \textbf{x}]$ increases by $\hat{\beta}_{1}$. Can this same equation be used for p... | g58217 | [
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<p>Consider the following scenario. I ran an experiment with 200 trials, each with a different stimulus. Each subject did exactly 200 trials. The subject responds with a single number anywhere between 5 and 50. The correct answer also ranges between 5 - 50. For each subject that did the experiment, I compute a single v... | g58218 | [
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<p>I'd like to compare the execution speed of two different methods (say <code>foo</code> and <code>bar</code> in some language like Ruby). I wish I was more knowledgeable in stats to tackle this problem...</p>
<p>I am tempted to compare the means of the time taken by <code>foo</code> and <code>bar</code> over a numbe... | g13201 | [
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<p>What is an appropriate way to test whether two logistic regressions are significantly different from one another? </p>
<p>Essentially, I have two similar logistic regressions made from two different sets of data, and one made from the two data sets combined. I'd like to be able to perform further analyses on the wh... | g13202 | [
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<p>I have a couple of vectors (each vector represents a student, each coordinate, a question) that I want to compare, to say if they are similar or not.</p>
<p>I am using the cosine distance.</p>
<p>I would like to make it better by accounting for the improbability/probability of each position of the vector. Like, wh... | g58219 | [
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<p>I have this question:</p>
<p>A study by Hewitt Associates showed that 79% of companies offer employees flexible scheduling.
Suppose a researcher believes that in accounting firms this figure is lower. The researcher randomly
selects 415 accounting firms and through interviews determines that 303 of these firms have flexib... | g13204 | [
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<p>Can you do a linear correlation with multiple samples and percentages? For (a bad) example, 10 different cities were polled on their opinions on legalizing marijuana and their political ideology. Each sample would be graphed with x= proportion favoring pot legalization, and y = proportion identifying as liberal.</p>... | g58220 | [
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<p>I'm following this "Modeling and Reasoning with bayesian networks book's problems and Im stuck in this:</p>
<pre><code>3.2 Consider again the joint distribution Pr from Exercise3.1.
(a) Whatis Pr(A=true or B=true)?
(b) Update the distribution by conditioning on the event A = true ∨ B = true, that is, construct the... | g58221 | [
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<p>I analyze labour market activities. I measure <code>JD</code>: job duration (time between beginning and ending of employment) and <code>PD</code>: professional duration (the time spent in a specific vocation). My sample is episode based (not individual based), thats important for <code>PD</code>: I measure <code>PD<... | g58222 | [
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<p>What learning algorithms are "embarrassingly parallel?" I'll kick it off with the obvious example from the <a href="http://cran.r-project.org/web/packages/foreach/vignettes/foreach.pdf" rel="nofollow">foreach documentation</a>:</p>
<pre><code>rf <- foreach(ntree = rep(250, 4), .combine = combine, .packages = "r... | g42086 | [
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0.002835062798112631,
0.0041362326592206955,
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0.03811012953519821,
... |
<p>Can someone take a shot at writing a formula using covariates into a linear regression formula? I need some feedback to see if I am on the right track. Much appreciated!</p>
<p>Here are my basic ingredients:</p>
<ul>
<li>Dependent variable = % change in charter school enrollment</li>
<li>Independent variable = di... | g58223 | [
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0.009734... |
<p>I have 2 groups of data to compare using a t-test, both of sample size n=5. Checking to see if the normality assumption of the test holds is difficult since the sample sizes are too small. </p>
<p>I have read that a t-test is robust to non-normality in this case since the sample sizes are equal. However if the data... | g58224 | [
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0.028386378660798073,
-0.02512471005320549,
-0.051011670380830765,
0.021312899887561798,
0.0892329290509224,
-0.029462873935699463,
-0.025085872039198875,
0... |
<p>I'm having a hard time understanding something. Let's say that I have 36 months of data (36 observations) regarding consumer behavior on a website. I constructed a model regressing $y$ on a number of predictors, and I get the desired coefficients. However, I'm interested in knowing how well my model did in predictin... | g13209 | [
0.014959659427404404,
-0.037899237126111984,
-0.007739562541246414,
0.0008568592602387071,
0.01558343879878521,
-0.05661584809422493,
0.04100384563207626,
0.01709607243537903,
-0.026317458599805832,
-0.06721560657024384,
-0.0197370033711195,
0.04837978631258011,
0.04963129386305809,
-0.038... |
<p>I am having memory issues when training a neural network with 100 outputs and 6000 examples with 500 features. What should I do. I don't want to learn a separate neural network for every each output. The outputs are very much correlated so I want to make a multi target prediction. Suggestions? This is what I did</p... | g13210 | [
-0.010589158162474632,
0.027454642578959465,
0.008415919728577137,
-0.036537423729896545,
-0.0027836232911795378,
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0.044133733958005905,
0.04848373681306839,
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-0.04478379711508751,
-0.060370784252882004,
-0.004500915762037039,
0.046973250806331635,
... |
<p>From <a href="http://en.wikipedia.org/wiki/General_linear_model" rel="nofollow">Wikipedia</a></p>
<blockquote>
<p>The general linear model (GLM) is a statistical linear model. It may be written as<a href="http://en.wikipedia.org/wiki/General_linear_model" rel="nofollow">1</a>
$$
\mathbf{Y} = \mathbf{X}\math... | g58225 | [
0.01229326706379652,
-0.020933013409376144,
-0.0075804246589541435,
0.03374496474862099,
0.04099041596055031,
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0.013731020502746105,
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0.013798327185213566,
0.02152845822274685,
0.... |
<p>In the hybrid forecasting model using ARIMA and neural networks (multilayer perceptron), the time series is first processed in ARIMA for linear processing. You get forecast values and also statistical values as residuals, various errors measures.</p>
<p>My question is: what items do you use to feed to neural networ... | g13212 | [
0.04140608757734299,
-0.016991453245282173,
-0.0004447405517566949,
0.025800835341215134,
-0.013549741357564926,
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0.037461891770362854,
0.012055354192852974,
-0.06870245933532715,
-0.0150801045820117,
0.023684749379754066,
0.04263130947947502,
0.037485815584659576,
-... |
<p>I am fairly new to R and data mining concepts and am trying to understand the <code>rpart</code> package in R. I am a bit confused about the role of priors and loss in the making of a decision tree. I am referring to the vignette for the package <em>An introduction to recursive partitioning</em> (<a href="http://cra... | g13213 | [
0.027865570038557053,
-0.08462104946374893,
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0.034964609891176224,
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0.00047184230061247945,
0.017574166879057884,
0.03808718919754028,
... |
<p>I'm interested in developing a model for the circadian rhythm of hormone levels via a cosinor analysis. I just started looking into cosinor analyses so I have a few questions. </p>
<p>The data is being collected at the moment, but I'm trying to get a better understanding of the method, before the actual data arrive... | g58226 | [
-0.018009165301918983,
-0.03461986035108566,
-0.004007305018603802,
0.008371333591639996,
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0.020624054595828056,
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-0.01375757809728384,
0.050868287682533264,
-... |
<p>I fitted a gaussian mixture to my financial data. </p>
<p>The values are:</p>
<p>$\pi= 0.3$</p>
<p>$\mu_1= -0.01$</p>
<p>$\mu_2= 0.01$</p>
<p>$\sigma_1=0.01$</p>
<p>$\sigma_2=0.03$</p>
<p>One can see, that both single distributions have a mean of almost zero, wherease one has a high volatility and the other a... | g38050 | [
0.03563510254025459,
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0.01761385053396225,
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-0.030208775773644447,
0.0005390775040723383,
0.008028053678572178,
0.018895791843533516,
-0.00... |
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