question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>We have lot of 3D data and we reduced it to 2D for performing fuzzy clustering and obtaining prototypes. We used some matlab functions that were very well documented. Now we would like to see to which initial 3D points the first prototype found corresponds, so I wonder if we can perform the reverse of MDS, is that p... | g67959 | [
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<p>I am looking for a way to test weather a boundary threshold exists in a physiological response--a sample of the data is plotted below. My hypothesis is that the X-variable imposes a physiological constraint on Y-values, thus producing a boundary 'ceiling' for maximum Y-values that varies inversely with X-values (ind... | g67960 | [
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<p>I need to know about the power of a simple effect that follows from a 2x2 ANOVA interaction.</p>
<p>Let's call the factors in this design GROUP(Patient, Control) and MANIPULATION(Expectation, Random), giving me 4 cells. Our very specific hypothesis is the following: controls will adapt their behavior according to t... | g67961 | [
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<p>First please forgive me of using this non-mathematical terminology in the title. </p>
<p>Assume we have two series of real numbers $X_1, X_2, \ldots, X_M$ and $Y_1, Y_2, \ldots, Y_N$ where it is possible for $X_i=X_j$ and $i \neq j$. Now if we combine series $X$ and $Y$, the resulting set of real numbers $X_1, X_2,... | g67962 | [
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<p>I have one dependent categorical variable and other many explanatory categorical variables. The number of nominal values for any of these categorical variables may fall in range of 5-100. My objective is to explore the relationship between dependent categorical variable and any one of explanatory variable and to fin... | g67963 | [
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<p>I asked a question but it was a bit long and confusing so I will attempt to keep this shorter and simple (original post <a href="http://stats.stackexchange.com/questions/24971/mixed-effects-model-equations">Mixed effects model equations</a>)</p>
<p>I am basically looking to see which factors (e.g. A, B, C such as ... | g48505 | [
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<p>Let $X \sim Binomial (n, p)$ with both $n$ and $p$ known.
Suppose for some non-increasing function $G:[0,1] \rightarrow [0,1]$,
and some fixed $c_0 \in [0,1]$,
we have that
\begin{align} \label{ineq}
P(G(X/n) \leq c_0) \leq \alpha
\end{align}
where $\alpha$ can be chosen as 0.1. Let $\mathcal{G}$ be
set that... | g17532 | [
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<p>somebody please prove or disprove
$P(x|y)=P(x|z)/P(y|z)$</p>
<p>I have tried to plug in numbers with example in Wikipedia, for example, </p>
<p>$A$ is outcome number of dice 1</p>
<p>$B$ is outcome number of dice 2</p>
<p>$X$: event of $A=2$</p>
<p>$Y$: event of $A+B \leq 5$</p>
<p>$Z$: event of $B=2$</p>
<p... | g67964 | [
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<p>Should Python's</p>
<pre><code>statsmodels.api.GLM(train_y, train_X, family=sm.families.Binomial()).fit().predict(test_X)
</code></pre>
<p>always produce the same results as R's</p>
<pre><code>predict(glm(y ~ ., data=train_X, family=binomial), newdata=test)
</code></pre>
<p>where <code>train_y</code> is a pandas... | g67965 | [
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<p>Let's say I have a variable that perfectly predicts one of the classes in my dataset:</p>
<pre><code>set.seed(668130)
dat <- iris
dat$X <- sample(1:3, nrow(iris), replace=TRUE)
dat$X <- ifelse(dat$Species=='setosa', 1, dat$X)
> table(dat$X, dat$Species)
setosa versicolor virginica
1 50 ... | g67966 | [
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<p>I'm watching a Machine Learning course offered by Alex Smola at <a href="http://www.youtube.com/watch?v=OmJbGrQ93CA" rel="nofollow">http://www.youtube.com/watch?v=OmJbGrQ93CA</a></p>
<p>14 minutes in and im confused. At that part he starts to explain Linear Regression. I've watched other introduction to Machine Lea... | g67967 | [
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<p>Given a distribution A with a mean of $\mu_1$ and standard deviation of $\sigma_1$, how can I generate:</p>
<ul>
<li>Distribution B with a mean of $\mu_2$ and standard deviation of $\sigma_2$ and a correlation of $X_1$ with distribution A</li>
<li>Distribution C with a mean of $\mu_3$ and standard deviation of $\si... | g27755 | [
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<p>The $\chi^2$ goodness-of-fit test uses the following <em>statistic</em>:
$$
\chi_0^2=\sum_{i=1}^n\frac{(O_i-E_i)^2}{E_i}
$$
In the test, granting that the conditions are met, one uses the $\chi^2$-<em>distribution</em> to calculate the p-value that given the $H_0$ is true one would observe such a value in a represen... | g67968 | [
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<p>If we group examples with and without class labels using clustering techniques by treating the class as an ordinary nominal attribute, the resulting clusters can then be used for classifying test instances by assigning the most frequent class in each cluster to test instances that fall into that cluster. Why is it t... | g27756 | [
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<p>I am debating how to construct an interaction plot with my supervisor.</p>
<p>We have a dataset comprising 8 independent variables. We are trying to analyse the effect of 2 of the 8 independent variables on the dependent variable.</p>
<p>My supervisor is suggesting that to draw an interaction plot, we first fit a ... | g67969 | [
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<p>OLS models can be created using the base R lm function.</p>
<p>They can also be created using the ols function in the rms package.</p>
<p>Unfortunately, I cannot find anywhere online (including in the ols help page) a summary of the differences between ols and lm, and what reasons there might be in practice to pre... | g67970 | [
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<p>I am using a Bayesian state space model constructed in the BUGS language to fit my data.</p>
<p>One of the outputs of the "state" part of the model is proportions.</p>
<p>I use a beta distribution in the "observation" part to fit predicted values to observed ones with the following code.</p>
<pre><code>for(i in 1... | g27764 | [
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<p>Adaptive learning rates means using different learning rate for different weight in neural network. Except for the emperical method which updates these learning rates based on consistency in gradient, what is the best method to use these adaptive learning rates?</p>
<p>As I don't know much about Jacobian, Hessian m... | g67971 | [
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<h3>Background:</h3>
<p>It's common in many aspects of science to want to determine if the trends shown in spatial data are significant. In my field of familiarity, climate science, authors often show the trends in temperature data, for example, and overlay stippling to show trend significance at 5%. For example see... | g67972 | [
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<p>I have to implement a multivariate analysis on $n$ random variables with a sample of $m$ data points. I would like to get a matrix with the $\beta$ (as in $n$ $\beta$ vectors put together). </p>
<p>Is there an analytical formula for that or do I have to calculate each vector individually and put them back together... | g67973 | [
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<p>This question relates to one of my other questions: <a href="http://stats.stackexchange.com/questions/97165/split-plot-with-nested-factors-anova-in-r">Split plot with nested factors ANOVA in R</a> .</p>
<p>I have subjects taking an experiment, where I have different <code>Scenarios</code> and each <code>Scenario</c... | g67974 | [
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<p>i know that there is fisher test for periodic component detection,on example is there</p>
<p><a href="http://www.mathworks.com/help/signal/ug/significance-testing-for-periodic-component.html" rel="nofollow">http://www.mathworks.com/help/signal/ug/significance-testing-for-periodic-component.html</a></p>
<p>but let ... | g67975 | [
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<p>I have a multilabel text classification problem where each observation will have one or more labels associated to it.
The metric I want to maximize is mean F1 score.
Are there standard ways to approach the optimization of which labels and how many labels to predict for each observation to maximize mean F1 score over... | g67976 | [
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<p>I have an interesting task of utilizing log data from computer servers in a server farm and predicting if a particular server is likely to fail in the next 24 hours. My data set will be comprised of both time series data as well as some descriptive data for each servers (see examples below)</p>
<p>Time Series:
I'l... | g27770 | [
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<p>Let $X_1,...,X_4$ be independent $N_p(μ,Σ)$ random vectors. Let $V_1,V_2$ be such that
$$V_1=(1/4)X_1-(1/4)X_2+(1/4)X_3-(1/4)X_4 $$
$$V_2=(1/4)X_1+(1/4)X_2-(1/4)X_3-(1/4)X_4 $$
<p> I need to find the marginal distributions of $V_1$ and $V_2$ and the joint density. Since they are linear combinations of random vecto... | g67977 | [
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<p>I'm trying to apply the bag of visual words approach to make scene classification. I started to use k-means to generate my codebook, but rapidly discovered its limitations. From one codebook generation to another, I get fluctuations of 10% on the classification ratio (data dimension: 8, number of clusters: 50). In a... | g27772 | [
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<p>Proper frequentist procedure says that we should establish a sampling plan, statistical analysis and significance level before we start an experiment. We then report whether or not we reject H0 for the chosen level of significance.</p>
<p>What if we do the same and don't choose the significance level beforehand. We... | g27773 | [
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<p>Is there a probability distribution for which the standard deviation is proportional to the mean?</p>
<p>More generally, I have been searching the web for a nice table comparing the properties of probability distributions (including mean and std). Any good reference?</p> | g98 | [
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<p>Imagine</p>
<ul>
<li>having a dependent variable $Y$ that is a proportion (i.e., the proportion of observations made at the given time point that satisfy a condition, where each time point involves 50 to 250 observations)</li>
<li>$Y$ is measured at a series of time time points $X$, where $X = 1, 2, 3, ...$, typica... | g67978 | [
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<p>The <a href="http://en.wikipedia.org/wiki/Likelihood_function">wikipedia page</a> claims that likelihood and probability are distinct concepts.</p>
<blockquote>
<p>In non-technical parlance, "likelihood" is usually a synonym for "probability," but in statistical usage there is a clear distinction in perspective: ... | g49608 | [
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-0.0037600938230752945,
0.017166446894407272,
0.0024771932512521744,
0.03956500068306923,
0.... |
<p>Let $F$ be known continuous CDF of a continuous R.V. and $F_n$ represent the empirical CDF for sample of size $n$, hypothesized to be drawn from $F$. The Kolmogorov–Smirnov statistic is $D_n :=sup |F_n(x) - F(x)|$. In applying the Kolmogorov–Smirnov test, the key is that $\sqrt{n}D_n$ converges in distribution to th... | g67979 | [
0.003443145891651511,
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0.008180308155715466,
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0.0009103129850700498,
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0.028106478974223137,
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... |
<p>The scenario: Over a course of 10 minutes 2 security guards patrol a floor and have their movement tracked. They can either be on the left or the right side of the floor, and within each side of the floor are 10 zones. So in total there are 20 zones (left zone 1, right zone 1, left zone 2, right zone 2, left zone 3... | g67980 | [
-0.005528744775801897,
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0.0149030527099967,
0... |
<p>I know this is a basic question, but I get slightly different answers everywhere I look, a quick example is that I learnt at Uni that the errors of the dependent variable have to be normally distributed not the variable itself, but just recently I was brushing up on my stats and I googled 'assumptions of regression'... | g67981 | [
0.07946106791496277,
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0.04524056613445282,
0.014843183569610119,
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0.007407804951071739,
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0.008166593499481678,
0.... |
<p>I would like to study rare events in a finite population. Since I am unsure about which strategy is best suited, I would appreciate tips and references related to this matter, although I am well-aware it has been largely covered. I just don't really know where to begin.</p>
<p>My problem is a political sciences one... | g27781 | [
-0.010491454973816872,
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0.013310026377439499,
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0.0214174073189497,
0.07335538417100906,
0.025574184954166412,
-0.05287230759859085,
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0.007533217314630747,
0.034897059202194214,
0.... |
<p>A quick general question:</p>
<p>In a practical setting, what's a good way to separate out, and then comment on, long term and short effects in a model? I had thought a good way to do so would be to include lagged versions, of the same variable, of varying distances, the longer distances indicating longer term effe... | g27783 | [
0.020647717639803886,
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0.02748100273311138,
0.02340465970337391,
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0.055... |
<p>I would like to hear recommendations on what tools to use to graph the usage of precedents in a legal court in Brazil. The data is searchable at www.stj.jus.br/SCON/, and in the most recent collegiate decisions ('acórdão') database, a field ('Veja') is provided listing the cited cases.</p>
<p>My objective would be ... | g67982 | [
0.047688182443380356,
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0.037753112614154816,
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0.03074091300368309,
0.01999245025217533,
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0.07111252844333649,
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<p>I'm a social scientist working on a research project where I try to estimate the prevalence of lying in responding to a certain sensitive question. The way I estimate it is to rely on a quasi-experimental setting where a major event happen in the middle of a public opinion survey and compare the people's responses t... | g27784 | [
0.07158224284648895,
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0.004058897960931063,
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0.025838298723101616,
0.003797763492912054,
0.009037313051521778,
-0.0038060664664953947,
0.049161266535520554,
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-0.033559270203113556,
... |
<p>I want to determine (in an algorithm) the approximate surprisal of getting an outcome "as extreme as $k$" from the $Poisson(\lambda)$ distribution.</p>
<p>My original plan was to use $-log_2(1/2-|1/2-F_{Poisson(\lambda)}(k)|)$ but calculating $F_{Poisson(\lambda)}(k)$ requires the incomplete Gamma function which us... | g27785 | [
0.013681727461516857,
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<p>I had an experiment using a 2 (between-subject variable, say Drug treatment) X 3 (within-subject variable, say Condition, which is counter-balanced, so time is not a concern here). Each condition has a score (continuous), so it can be considered repeated measures in this sense. The outcome is binary, say Succeeded (... | g67983 | [
0.02060224860906601,
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0.007436641491949558,
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0.0358259379863739,
0.01886918395757675,
0.016805587336421013,
-0... |
<p>I have data on prices of houses in different districts, and would like to determine how expensive different districts are when it comes to buying a house. However, houses vary with respect to amenities. For example, some have swimming pools and others don't. In order to remove any between-house variation in price pe... | g67984 | [
-0.016156300902366638,
0.019902411848306656,
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0.048164986073970795,
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0.013052380643785,
-0.013418242335319519,
0.03862980380654335,
0.03952017426490784,
0.0275... |
<p>I normalized my dataset then ran 3 component PCA to get small explained variance ratios ([0.50, 0.1, 0.05]).</p>
<p>When I didn't normalize but whitened my dataset then ran 3 component PCA, I got high explained variance ratios ([0.86, 0.06,0.01]). </p>
<p>Since I want to retain as much data into 3 components, shou... | g27787 | [
0.046769943088293076,
0.012296847067773342,
0.02279628813266754,
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0.042418379336595535,
0.052263736724853516,
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0.02... |
<p>I have some questions.
I am doing logistic regression. but my sample is small(n=129). And in DV, the smallest number of cases is 27(1').
Actually, I hope to use 12 predictors. However, I know the rule of thumbs(1 to 10), too.
Then, if I use sampling weight variable, can I use the 12 predictors? when I use weight var... | g49791 | [
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0.02726130746304989,
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0.02478036843240261,
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0... |
<p>I am trying to programmatically identify an ARIMA model for a series of data and forecast values. </p>
<p>Currently the problem i am facing is to find a way to evaluate partial autocorrelation. I have been looking for methods to calculate PACF for quite a long time now but in vain. </p>
<p>Please provide some onli... | g27789 | [
0.06669076532125473,
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0.009902935475111008,
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0.0738106444478035,
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0.0065197572112083435,
0.01921362616121769,
0.07520683109760284,
-0.00564... |
<p>How can I test whether two parameters of a logistic regression model are both zero at the same time?</p> | g67985 | [
0.05708551034331322,
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0.026998447254300117,
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0.11629954725503922,
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0.032149944454431534,
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0... |
<p>I'm wondering how to implement two-way clustering, as explained in <a href="http://www.statsoft.com/textbook/cluster-analysis/#twotwo" rel="nofollow">Statistica documentation</a> in R. Any help in this regard will be highly appreciated. Thanks</p> | g67986 | [
0.030040884390473366,
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0.005844639148563147,
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0.09366220980882645,
0.023844... |
<p>I have <strong>balanced</strong> training data: 300 positives and 300 negatives, but the test data is <strong>unbalanced</strong>: I have 15 positives and 60 negatives.
Will the unbalanced test data impact classification accuracy?</p>
<p>Actually, I tried to collect balanced test data (30 pos & 30 neg). The pre... | g67987 | [
-0.003393482882529497,
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0.019484221935272217,
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0.015261762775480747,
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-0.04746061936020851,
0.024439221248030663,
0.005376983433961868,
-0.0013483045622706413,
-0... |
<p>I want to find extreme values (anything greater or less than three times standard deviation from the mean) after generating a set of random numbers using: </p>
<pre><code>num = rnorm(1000)
</code></pre>
<p>My code looks like the following:</p>
<pre><code>extreme = function(varname) {
for(i in varname) {
cou... | g67988 | [
0.009194211103022099,
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0.021053409203886986,
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0.04553348198533058,
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-0.04129648953676224,
-0.04352744668722153,
-0.017432181164622307,
-0.0014955170918256044,... |
<p>I am doing a binary classification. The dataset has 3000 samples, and each sample has 10 features.
But I find that the performance of using all 10 features is almost the same as that of using only the first three features. So does it mean that the last 7 features are not useful?</p>
<p>Thanks in advance. </p> | g820 | [
-0.000044379168684827164,
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0.02780892513692379,
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0.06264558434486389,
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0.02258794568479061,
0.039191387593746185,
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-0.028016742318868637,
-0.023650435730814934,
0.05473262444138527,
-0.003619730705395341,
... |
<p>If I have two normally distributed independent random variables $X$ and $Y$ with means $\mu_X$ and $\mu_Y$ and standard deviations $\sigma_X$ and $\sigma_Y$ and I discover that $X+Y=c$, then (assuming I have not made any errors) the conditional distribution of $X$ and $Y$ given $c$ are also normally distributed with... | g67989 | [
0.06298937648534775,
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0.0026755642611533403,
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0.0010862378403544426,
-0.01549492403864860... |
<p><em>Z</em>-normalization means rescaling the feature $X$ by subtracting the average $\mu$ and dividing by its standard deviation $\sigma$, i.e., $(X-\mu)/\sigma$.</p>
<p>What is the usefulness of normalizing data for machine learning?</p> | g15756 | [
0.026222065091133118,
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0.0020571809727698565,
0.003251067129895091,
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0.04130460321903229,
0.04070254787802696,
0.043300241231918335,
-0.... |
<p>Can anybody give me a good reference on Almon model for time-series analysis. Also, what's the basic difference between Koyck model & Almon model.</p>
<p>Regards,</p> | g67990 | [
-0.020147616043686867,
0.04301419481635094,
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0.020736299455165863,
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0.060364872217178345,
0.015430453233420849,
0.04190865159034729,
0.0626828670501709,
-0.0... |
<p>I'm familiar with using insights from Random Matrix Theory to determine the number of principal components from the PCA of a covariance/correlation matrix to use to form factors. </p>
<p>If the eigenvalue associated with the first PC is large, then it means that the remaining eigenvalues must be small (since the su... | g67991 | [
0.03321768715977669,
0.025824015960097313,
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0.010457309894263744,
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0.09208833426237106,
0.01910989172756672,
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-0.046537965536117554,
0.015358672477304935,
-0.002855358412489295,
0.0454106479883194,
0.043... |
<p>Been working on this problem - any suggestions would be greatly appreciated!</p>
<p>Let $e \in\varepsilon$ be a simple function over $(\Omega,A,P)$. Show that there is a disjoint partition $A_i, i = 1,\ldots,m,$ of $\Omega$ such that $e = \sum\limits_{i=1}\alpha_i1_{A_i}$. </p> | g67992 | [
0.002665736246854067,
0.011463850736618042,
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0.04023997485637665,
0.04623713716864586,
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0.025561023503541946,
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0.027445824816823006,
0.... |
<p>I'm currently trying to generate a number of (rudimentary) models to perform classifications (or get probability distributions through classifications).</p>
<p>Let's say that I have a particular video from YouTube:</p>
<p><a href="http://www.youtube.com/watch?v=njguvivB2Pw" rel="nofollow">UMVC3 Grand Final AGE Chr... | g48551 | [
-0.020632872357964516,
-0.011752579361200333,
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0.049537692219018936,
0.016834916546940804,
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0.021618863567709923,
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-0.04209477826952934,
0.007868977263569832,
-0.019256791099905968,
0.07690795511007309,
... |
<p>What would be the best way of determining the statistical significance of the differences in concentration between trials of a dataset such as this one:</p>
<pre><code>+-------+---------------+
| Trial | Concentration |
+-------+---------------+
| 1 | 2.41 |
| 2 | 8.43 |
| 3 | 3.48 ... | g67993 | [
0.011173474602401257,
0.014262672513723373,
0.0021816573571413755,
-0.04536634311079979,
0.024326849728822708,
-0.03876286745071411,
0.029565194621682167,
0.02389521524310112,
-0.07532913982868195,
-0.0017849782016128302,
0.011062313802540302,
0.026068439707159996,
0.055949147790670395,
0.... |
<p>I understand that lift is a the ratio of the observed support to the expected one if X and Y were independent. Looking at <a href="http://en.wikipedia.org/wiki/Independence_%28probability_theory%29#Definition" rel="nofollow">independence</a> it would make sense to define it as follows: $$\frac{\mathrm{P}(X \cap Y)}{... | g67994 | [
0.030459342524409294,
0.04051904007792473,
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0.02838691510260105,
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0.004738739691674709,
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-0.028319694101810455,
-0.022401127964258194,
-0.0026603254955261946,
0.02588137798011303,
-... |
<p>When any person gets a dataset of counts for two groups (metagenomics or digital gene expression), the first thing they do is to go and find features that differ significantly between the two groups, which seems obvious. However, isn't it better to first test if the two groups are in fact different, and then find th... | g67995 | [
0.012031742371618748,
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-0.0052787065505981445,
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0.013314041309058666,
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0.02109495736658573,
0.0038354203570634127,
-0.04825115576386452,
-0.0773361399769783,
0.014034266583621502,
0.047458428889513016,
0.04073439538478851,
-... |
<p>Im working on assessment of algorithm sensitivity and specificity.
I've developed a simulation in order to detect true and false positives and negatives. My intersest is to know if my algorithm is capable of detect a event, or not. So, in the end, I got several yes or no, capable or not capable of detection. Is that... | g67996 | [
0.048468273133039474,
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0.000992070185020566,
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0.03861350938677788,
0.0364781878888607,
-0.049927014857530594,
-0.024569915607571602,
-0.0397038459777832,
0.03865779936313629,
0.008124638348817825,
0.021... |
<p>I am doing a GLM (guassian - identity) using R. I am modeling different variables (8) to try to understand what creates brand value in an organization.<br>
Some extracts from the output are:</p>
<pre><code>Null deviance: 74.343 on 81 degrees of freedom
Residual deviance: 32.870 on 69 degrees of freedom
(19... | g67997 | [
-0.02129097655415535,
-0.007078754249960184,
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0.0015674600144848228,
0.04035345837473869,
0.015319361351430416,
0.042687613517045975,
0.02218332141637802,
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0.008660370483994484,
-0.03463297709822655,
0.043396953493356705,
0.04065994173288345,
-0.0... |
<p>Given the distribution function of random variable $X$ I know how to estimate its mean. What would be an estimator (preferably unbiased) of $\ln(\text{E}[X])$ ?</p> | g49728 | [
-0.015600536949932575,
-0.026420297101140022,
0.008314072154462337,
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0.008050589822232723,
0.017023226246237755,
-0.0017593250377103686,
-0.03666016831994057,
0.0025947599206119776,
0.030271321535110474,... |
<p>First let's simulate some data for a logistic regression with fixed and random parts:</p>
<pre class="lang-r prettyprint-override"><code>set.seed(1)
n <- 100
x <- runif(n)
z <- sample(c(0,1), n, replace=TRUE)
b <- rnorm(2)
beta <- c(0.4, 0.8)
X <- model.matrix(~x)
Z <- cbind(z... | g27805 | [
0.029293345287442207,
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0.012372459284961224,
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0.0034479585010558367,
-0.018288366496562958,
0.03360313922166824,
-0.0042593590915203094,
-0.07710206508636475,
-0.02364801988005638,
-0.022950701415538788,
0.026960181072354317,
0.019669242203235626,
... |
<p>How to calculate the Precision and Recall for yes, no class and Correctly Classified Instances is 35.7143 %</p>
<pre><code>Data: weather.arff
@relation weather
@attribute outlook {sunny, overcast, rainy}
@attribute temperature real
@attribute humidity real
@attribute windy {TRUE, FALSE}
@attribute play {yes, no}... | g67998 | [
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0... |
<p>I have problem with find ranking of words while computing multiple contents.</p>
<p>I'm splitting each words from the contents except stop words.</p>
<p>I have individual word counting with all contents, i.e total contents count=30, word$_1$ count=some $x$, word$_2$ count=some $y$ and so on.</p>
<p>We cannot cons... | g27808 | [
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<p>I have a data-analysis problem with two closely-related timeseries. Both are binned in time at the same rate, but one is discrete (takes values in $\mathbb{Z}$), and the other is continuous. I am interested in modeling each of these processes' dependence on a common set of predictors, $X$. </p>
<p>Given $X$, the qu... | g27810 | [
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<p>I'm trying to investigate the effect on (a) tear resistance and (b) gloss of a piece of film due to additive and extrusion method. I can see that the best results for tear resistance is low additive high extrusion, and the best results for gloss is low additive, low extrusion. Although is there a way to say the best... | g67999 | [
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<p>I am interested in trying to validate some results from a previous experiment. The experiment involves selecting probes of interest that separate our two populations of interest, e.g. smoker vs. non-smoker, high protein diet vs. low protein diet.</p>
<p>I have called some probes on an initial data set as significan... | g68000 | [
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<p>I usually refer <a href="http://mulan.sourceforge.net/datasets.html" rel="nofollow">this</a> webpage for multi-label dataset. These dataset are in arff format, which can be loaded easily by Weka/MATLAB. Currently, I'm looking for similar ready to use multi-label dataset for 20 Newsgroups data. </p>
<p>The <a href="... | g48576 | [
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<p>Can anyone point me in the direction of an online (recursive) algorithm for Tikhonov Regularisation (regularised least squares)?</p>
<p>In an offline setting, I would calculate $\hat\beta=(X^TX+λI)^{−1}X^TY$ using my original data set where $λ$ is found using n-fold cross validation. A new $y$ value can be predicte... | g68001 | [
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... |
<p>lets say I have the mean of two different measurements of something, a and b. I also have the standard deviation on a, and b, but I do not have access to all the individual measurements of a and b. Is it possible to compare the two values to see if the means are statistically different (i.e., reject the null hypothe... | g1474 | [
0.005321720615029335,
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... |
<p>I am trying to use exploratory data analysis to decide which model to use with my data for prediction either linear regression/neural networks etc, basically I am focusing on linear and non linear models. What kind of exploratory analysis can I do to decide whether a linear model is good enough for me or a non linea... | g17551 | [
0.010469689033925533,
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... |
<p>I have a set of results of independent measurements of some physical quantity. As an example I give here real expermental data on methanol refractive index at 25 degrees Celsius published in scientific literature from 1960 to 2011:</p>
<pre><code>data={{1960, 1.32652}, {1961, 1.32662}, {1963, 1.32650}, {1963,
1.... | g68002 | [
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<p>Let $O \in \mathbb R^{p\times m}$ be a data matrix of observations.</p>
<p>Suppose we are given a model $\mu : \mathbb R^n \rightarrow \mathbb R^m$ which is able to approximately fit the observations. Fix $l<n$. We wish to find a sub-model $\varepsilon:\mathbb R^l \rightarrow \mathbb R^n$ which will come close t... | g48583 | [
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0.02999436855316162,
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<p>I have been trying to estimate the basic stochastic volatility model using <code>OpenBUGS</code> via R and at an stage of the following command. Please can you comment for the command that can give me the estimated parameter values of the model?</p>
<pre><code>library(tsbugs)
y <- svpdx$pdx
# create and write b... | g68003 | [
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<p>I have time series data for two signals, $X$ and $Y$. At $\text{time}=0$, the both $X$ and $Y$ are roughly 50. As time progresses, $X$ increases to settle at 100 and $Y$ decreases to settle at 0. Hence, the time-series go from (50,50) to (0,100).</p>
<p>My question is, if I plot this data, clearly $X$ any $Y$ wil... | g68004 | [
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... |
<p>I would really appreciate any suggestions with the following data analysis issue. Please read till the end as the problem at first may appear trivial, but after much researching, I assure you it is not. The situation is a little complicated because I want to compare the ratios of means:</p>
<p>For example, in one... | g68005 | [
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<p>I have an issue with the proof of</p>
<blockquote>
<blockquote>
<p>$E(Y|X) \in \arg \min_{g(X)} E\Big[\big(Y - g(X)\big)^2\Big]$</p>
</blockquote>
</blockquote>
<p>which very likely reveal a deeper misunderstanding of expectations and conditional expectations.</p>
<p>The proof I know goes as follows ( ano... | g68006 | [
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<p>I know about histograms and also know that if we connect the mid-points on the top of bars in a histogram we will get a frequency polygon. This polygon could then be 'smoothed' in a way that it generates a frequency curve like in normal distribution, Poisson distribution, etc. What is smoothing? How is it done? I ha... | g68007 | [
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<p>I am trying to plot the likelihood function of $\theta$ for the $\text{Cauchy}(\theta,1)$ distribution given a specific data set. I am using the code below and it doesn΄t work.</p>
<pre><code>data <- read.table("mydata", head=F)
theta <- seq(1, 3, l=100)
density <- function(theta) { prod( dcauchy(data... | g68008 | [
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<p>I have counted adult butterfly numbers over 3 areas and would like to compare these counts with the percentage heather cover on each of the 3 areas. Is this possible?</p>
<p>My data looks like this (the cover is the average for each area whilst count is the total number of adults observed over 10 days – let me know... | g68009 | [
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<p>I have made logistic regression with fixed intercept and with random intercept on the same data, and the results (the odds-ratios) are very different. Could somebody tell me what can be the reasons of these big differences between the two regressions?</p> | g48434 | [
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<p>I've got a method that produces clusters of elements and singletons. The singletons usually comprise about half of the initial element set, and there usually is a single biggest cluster of a several million elements, followed by a second cluster of a few hundred thousand elements, then the rest of the clusters with ... | g35856 | [
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... |
<p>I am working on cross-validation of prediction of my data with 200 subjects and 1000 variables. I am interested ridge regression as number of variables (I want to use) is greater than number of sample. So I want to use shrinkage estimators. The following is made up example data:</p>
<pre><code> #random population ... | g27820 | [
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0.018311185762286186,
0.007621097378432751,
0.03832245618104935,
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-0.003... |
<p>I'm trying to build a model for the ticket sales for different sporting events over a period of 30 days before the game to the day of the game. The problem that I'm having is that I can't seem to fit the right model to it. I've tried negative binomial, linear, poisson, but nothing seems to fit right. A problem that ... | g27821 | [
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<p>I have a clustering results by different unsupervised algorithms in the form of coordinates (x,y) and class (it's currently binary). I would like evaluate the quality of clustering by some value. Most of the used techniques assuming that the closely located entries in the plot are related, and if they are from diffe... | g17554 | [
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<p>I have a mixed-model design with between-subjects factors Group (treatment, control) and Difficulty (easy, hard), and within-subjects factor Timepoint (pre, post). I want to use my statistical package (Statistica) to plot the dependent variable (memory test score) with separate categories for easy&hard, separate... | g68010 | [
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0.02490297146141529,
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<p>I have data of certain proportion $p$ in a population. I need to approximate the behaviour of this population through a Logistic curve of the form:</p>
<p>$p=\frac{1-e^{-\gamma t}}{1+ \alpha e^{-\beta t}}$</p>
<p>I have consulted several webpages and I have found out that the more simple process is to estimate the... | g27824 | [
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<p>I have come against a small issue when implementing some deep learning techniques. </p>
<p>Sometimes, if one is implementing a classic binary-binary Restricted Boltzmann Machine (RBM), the sampling functions (i.e. particularly the function that samples the hidden units given the visible units, $p(h|v)$) requires u... | g17555 | [
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<p>I am having difficulty at formulating properly a null hypothesis regarding the following setup: </p>
<p>Suppose that we are interested in probing a possible association between bundled products sold at supermarket chains vs online. </p>
<p>We have P products, and only bundles of two products are available for sale... | g27825 | [
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<p>Let $X \sim {\rm Bernoulli}(p)$ and $Y=aX-b$. I want to find the distribution of $Y$. </p>
<p>I am assigned a homework problem with specific $a$ and $b$. My textbook covers methods for solving this, given that x is continuously distributed. However, $X$ is discretely distributed.</p>
<p>I'm not looking to be shown... | g27828 | [
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<p>I've been tasked with taking up some modeling (perhaps predictive) for chemical formulations and some resultant performance characteristics. I have experience with finite element analysis (mechanical and fluid) and some more basic statistics, which identified me as a candidate for taking this on. I'd like to learn m... | g68011 | [
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<p>I built a naivebayes model using the Housevotes84 data(discrete data) in mlbench package-</p>
<pre><code>model <- naiveBayes(Class~., data=HouseVotes84)
</code></pre>
<p>I took one record from the data to predict the model.
Irrespective of which record it is the model always provides the output- "Democrats".</p... | g68012 | [
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<p>Does anyone know of some well written code (in Matlab or R) for reversible jump MCMC? Preferably a simple demo application to compliment papers on the subject, that would be useful in understanding the process.</p> | g48600 | [
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0.09407246112823486,
0.0... |
<p>For example, some studies report the probability of survival, on a scale of 0-1, with SE, and sample sizes for two treatments, rather than the mean and SD. Is there a sensible way to use the probabilities directly or convert to a useful format? </p> | g822 | [
-0.002199025359004736,
-0.038523510098457336,
0.024190019816160202,
-0.06484662741422653,
-0.03860342502593994,
-0.022318745031952858,
-0.0577046200633049,
0.0010816330322995782,
-0.02784833125770092,
-0.01382130105048418,
0.09885412454605103,
-0.05836932733654976,
0.130608469247818,
0.035... |
<p>Here is the R code that produced the output below:</p>
<pre><code>library(caret)
set.seed(934)
fitControl <- trainControl(method= "repeatedcv", number=10, repeats=10)
logitfit <- train(z~ a+b+c+d+e, data=train, method="glm", trControl = fitControl)
logitfit
</code></pre>
<p>Consider the following output from... | g68013 | [
-0.0511041097342968,
-0.06234816461801529,
0.026610277593135834,
-0.030873863026499748,
0.02029605768620968,
-0.02419445849955082,
0.06593716889619827,
0.043983571231365204,
-0.07814046740531921,
0.011412042193114758,
-0.014283858239650726,
-0.02354286052286625,
0.020395804196596146,
-0.03... |
<p>I am performing ordinal regression (6 response categories) on a large dataset (>15000 points) and comparing two models, one with one predictor X1 (Model 1) and the other with two predictors X1 and X2 (Model 2).
The models I fit are also cumulative over the categories: as in, I am looking at outcomes being <em>at le... | g68014 | [
-0.022485021501779556,
-0.0935746505856514,
-0.018754661083221436,
-0.015474645420908928,
0.03749104216694832,
0.018826471641659737,
0.05850430205464363,
0.04993480071425438,
-0.034137651324272156,
-0.0187763012945652,
0.032310184091329575,
-0.029339417815208435,
0.0838654562830925,
-0.000... |
<p>Suppose that I have a total of 1000 balls in a bag. 400 balls are labeled <code>a</code> and remaining 600 balls are labeled <code>b</code>. In addition, within the same 1000 balls, 60 balls are <code>white</code> and remaining 940 balls are <code>black</code>. </p>
<p>Now, if I conduct an experiment of picking a b... | g27836 | [
-0.017976991832256317,
-0.010731047950685024,
0.019407229498028755,
-0.059737250208854675,
0.030083633959293365,
-0.04208802804350853,
0.05832631140947342,
0.04612606391310692,
0.022608861327171326,
0.014346967451274395,
-0.07754870504140854,
0.020371124148368835,
0.03440488874912262,
0.01... |
<p>I am working on a small project where I have to do a Choice Based Conjoint (CBC) analysis. In order to get the part-worths for the different consumers I need to estimate a hierarchical multinomial model. Does anyone know how to do this in R/JAGS, and how to save the estimated coefficients for each consumer in a .csv... | g27837 | [
-0.0006326254806481302,
-0.012056423351168633,
0.0022365895565599203,
-0.02386360429227352,
0.00006201379437698051,
-0.09197226911783218,
-0.00793231837451458,
-0.019061267375946045,
-0.10347878187894821,
0.034374579787254333,
-0.07734426856040955,
-0.002658548066392541,
0.005873563233762979... |
<p>I am a beginner in statistics and probability. I have a question that says</p>
<blockquote>
<p>What is the expected number of failures preceding the first success in an infinite series of independent trials with the constant probability of success equal to $p$?</p>
</blockquote>
<p>I have tried of solution of th... | g68015 | [
-0.0433955155313015,
0.08044981956481934,
0.004797228146344423,
-0.0038773855194449425,
-0.010318183340132236,
-0.006227588746696711,
0.028722180053591728,
0.03117924928665161,
-0.058938320726156235,
-0.013669702224433422,
-0.06657946109771729,
0.07871779799461365,
-0.00926970411092043,
0.... |
<p>(1) I am looking for a package for computing the power of a matrix. If you have some good recommendation please let me know.</p>
<p>(2) I searched on the internet and followed what some said to install a package called "Malmig" in R but after selecting the mirror site, it failed:</p>
<blockquote>
<p>In install.p... | g27838 | [
0.028725963085889816,
0.0208458099514246,
-0.01711047813296318,
-0.04869015887379646,
-0.0455932654440403,
-0.0881037786602974,
-0.06902936846017838,
0.05167213827371597,
-0.034915514290332794,
0.021546579897403717,
0.01703360117971897,
0.03922700881958008,
0.016754986718297005,
0.02637475... |
<p>From a family pack skittles, some of the colours of different skittles are counted: </p>
<ul>
<li>41 green, </li>
<li>48 purple</li>
<li>100 red </li>
<li>63 yellow. </li>
</ul>
<p>Now I want to test if the probabilty of green is equal to the probability of purple; H0: P(green) = P(purple). </p>
<ul>
<li>How do I... | g68016 | [
0.0434882827103138,
0.013628868386149406,
0.02371644414961338,
-0.03842863440513611,
0.029338587075471878,
-0.013176366686820984,
0.022845156490802765,
0.04298659786581993,
-0.01895315758883953,
-0.013999954797327518,
-0.029369212687015533,
-0.003490991424769163,
0.0009947791695594788,
0.0... |
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