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[ "when do we use bayesian loss functions", "what loss function is f1 score", "calculating bayesian expected loss", "what is the loss function of the bayesian expected loss", "Bayesian expected loss", "what is expected loss in probability", "what is loss function of mean f1 score", "what is the loss function in Bayesian", "what is the loss function of bayesian", "how to calculate bayesian expected loss", "what is the f1 score loss function", "what is expected loss for Bayesian", "when calculating the bayesian expected loss for a multi-label classification problem,", "what is the bayesian expected loss for multiple label classification", "is the bayesian expected loss in classifiers tractable", "what is the bayesian expected loss function?", "what is the bayesian expected loss for each possible label", "Bayesian expected loss for f1 score", "how to find expected loss bayesian", "how do you figure expected loss in mls" ]

[ "how to select a variable in a forecast", "how to select a model variable", "what is the difference between a stochastic model and a timeseries model", "when selecting predictors in forecasting", "how many predictors in a time series", "what characteristics of a predicting model should be considered", "what is meant by variable selection in forecasting", "if you select two predictors at random, the correlation will not be high", "what model is used for variable selection", "are predictors nonstationary", "what is variable selection in time series forecasting", "what model to use for variable selection", "how do you find the variables in the forecasting equation?", "which variables are used in a time range forecasting problem?", "time series forecasting", "why is variable selection important in time series forecasting", "how does variable selection affect forecasting", "what type of forecasting system does the nsa use?", "why is random selection important in time series forecasting", "why do we choose a variable for a forecast" ]

[ "what data does deep learning use", "is deep learning a multimodal data collection", "how deep learning is performed", "deep learning in data", "what is the problem of deep learning with multimodal sensor data", "which data type does deep learning use to apply it?", "what is deep learning data", "what type of data is used to develop deep learning models?", "why deep learning is used", "when does deep learning work", "has deep learning been applied in data before?", "can deep learning be applied on a heterogeneous dataset", "which of the following describes the use of deep learning data?", "how deep learning works", "why deep learning is used for multimodal data", "what is deep learning in pgn", "what data are required for deep learning", "deep learning apex", "what kind of data is used in deep learning", "what is the gg n$ in deep learning and what does it do" ]

[ "what is repeated cross validation", "how many times does cross validation", "cross validation python how many numbers", "which cross validation procedure is performed using data sets that contain a cv?", "when is the cv used", "how do you cross validate a data set", "what's a repeatable cv", "what's the difference between a repeatable cv and a cv-reproduced cross validation", "what is the difference between a repeatable copy and a cross validate?", "what is the difference between a repeatable cross validation and a repeatable cross validation?", "how to divide data set into data sets", "what is cross validation of a data set used for?", "how is crossvalidation used in data set examples", "what is cv in math", "how to do double digit cross validation", "what is repeated cv vs test data set", "which test data set would be used as testing data?", "what is the difference between cross validation and repeatable validation", "cv cross validation example", "what is used for cross validation" ]

[ "lme function with random effects", "how to specify random effects", "what is mcmcglmm", "when specifying how many variables is mcmcglmm", "what model is random for school", "what is the function of lme in excel", "lme function with random effects", "what is mcmc random effect in lme", "lme function with random random effect", "can mcmc have random effect across all variables", "how to specify single variable random effect in lme", "what is the function to specify a model that has an independent random effect on a variable", "what model does lme use to find an independent random variable", "mcmcglmm is rcov independent", "lme function for random effects", "mcmcsm lme", "how to get random effect in lme", "what does lme stand for in math", "how to find multivariate model with independent random effect for groups", "how to specify a random effect in lme" ]

[ "which svm is used in iris dataset", "what is the purpose of the support vector machine in excel", "can you create a linear support vector machine in excel", "what is the purpose of supporting a vector machine in math in excel", "how to set up a linear support vector machine in excel", "how to use a linear support vector machine in excel", "what kind of machine for svms", "how to set up a linear support vector machine", "which excel function is used to separate iris from iris?", "how to use a linear support vector machine in excel for classification", "how to set a support vector machine for binary text", "how to set up a linear support vector machine in excel", "what is iris in excel irm", "what is a svm in excel", "how to set up support vector machine in excel", "how to use svm in excel", "excel define support vector machine", "what type of machine can excel use in a classification problem", "what type of machine is used to perform a binomial classification", "what is a linear support vector in excel" ]

[ "when to asymmetricalize methanol refractive index", "when is the refractive index calculated", "when is it safe to estimate true value", "what is the absolute distribution of refractive index", "when is refractive index asymmetrical", "how is refractive index calculated?", "what is the true value of the methanol refractive index?", "what year was 1.32661 published", "what is the asymmetrical distribution", "when is the asymmetrical distribution most likely to be asymmetrical?", "how to calculate true value of a distribution", "what is asymmetrical distribution", "average asymmetrical distribution", "when the refractive index is asymmetrical, the error of the", "what is the asymmetric range in science", "when to use the asymmetric distribution", "when is the data asymmetrical", "what is the correct asymmetrical distribution", "when the refractive index is asymmetrical", "how can i predict true value in a distribution of %" ]

[ "what a 95% ci mean", "can 95% ci in non normal distribution", "can you use 95% ci for mean", "what percent is normal range", "can 95% ci be used in nonnormal distribution", "what is 95% cci on a nonnormal range", "what is the natural limit for a non normal distribution", "can i use 95% cis for nonnormal distribution in statistics", "can i use 95% ci for non normal distribution", "what is 95% cci for normal range", "how to calculate 95% ci mean", "can a 95% ci be used instead of a normal distribution", "why do you use 95% ci in statistics", "when calculating a non normal distribution can 95%CI be used", "can 95% chi be used to measure nonnormal distributions", "which statistic is appropriate to use 95% confidence intervals?", "can you use 95% for a nonnormal distribution?", "can you use a 95% ci for a normal nonnormal distribution", "can you use 95%CI on a nonnormal distribution", "can 95% ci be used for a nonnormal distribution" ]

[ "what to use optim()", "what is the hessian standard error", "what is an example of a hessian in r", "what does hessian mean in math", "what to use for standard error in r", "which parameter of optimal are of particular relevance to the statistical validity of using the hessian to computing standard error?", "r what to use to compute standard errors", "what hessian parameter in optim", "hessian standard errors definition", "what is hessian standard error", "what parameters are referred to in hessin", "which argument does the optim hessian method take", "r what to use to get standard errors", "which argument to optim() is of particular relevance to the statistical validity of using the hessian to computer standard errors", "what is the standard error for using optim?", "hessian to computer standard errors example", "what is the use of optim in r", "which of the arguments to optim() are of particular relevance to the statistical validity of using the hessian to compute standard error?", "what is the purpose of optim in r", "what is hessian" ]

[ "what are the ways to regress a ratio", "which of the following ratios can be regressed using the log transformation?", "can we regress a ratio on itself?", "when do we regress a credit ratio", "why regress the ratio on itself", "can we use a ratio transformation on the log(income) ratio?", "what is the regressing ratio example", "which is the best way to regress the saving ratio", "why should we regress a ratio?", "how to calculate savings ratio", "can i regress a ratio on a metric", "why do you regress a ratio on itself", "what is the purpose of regressing a ratio on income", "why do we regress ratios", "what is regressing ratio", "what is log transformation for savings ratio", "can we regress the income to savings ratio", "which conversion is used to regress a ratio on itself", "can you regress the savings ratio in the rhs", "can a ratio be regressed on its own" ]

[ "how to calculate the average of the daily data of the sensors", "how to figure the average of a data logger", "how to calculate the weekly average temperature", "how to calculate na of data", "what is the hourly average for a sensor", "calculate time difference of three sensors", "how do i get the average of hours from a trx sensor", "how do i calculate the average of hourly data", "how to calculate the average of the hours of the day", "how to calculate daily temperature by means of data collection", "how to calculate average of hours", "how to calculate hourly time", "how do you find the average of the hourlies of a sensor", "how does xts calculate average hr", "calculate the average of hourly data", "time series of time", "how to calculate average of the hourly data of 3 sensors", "calculate average temp", "what is the na of time", "how to find the average of hourly data" ]

[ "what is the correct binary classifier", "calculating binary classifier probability", "how do binary classifiers work", "how do you know when a classifier is right", "what is the classifier probability", "what classifier is used in a java classifier", "why do binary classifiers classify features", "what is the correct classifier", "how do i find the true probability of the binary java classifier", "what does binary classifier probability measure", "binary classifier probability measurement definition", "binary classifier probability", "what is the function of binary classifier probability", "what is binary classifier probability", "what is binary probability", "what is the binary classifier", "what is binary classifier?", "can i estimate binary classifier", "what is the true probability of a classifier class", "binary classifier probability" ]

[ "why does glmm give different answer", "why is there a difference between anova and drop", "what is the difference between anova and drop1 in glmm", "difference between anova and drop", "when does anova and drop1 give the same answer?", "why does anova differ from drop1", "why do anova and drop1 differ in lmer", "why do anova and drop1 differ", "does anova work for glmm", "why does anova( ) and drop1( ) give different answers for glmms", "why do anova model and drop1 different answers", "why are different methods of glmms", "why do Anova and Drop1 differ?", "why do anova and drop1 differ", "why do anova and drop1 have different answers in a glmm", "why does anova and drop1 have different results", "why does the anova method differ from the drop method?", "why does anova and drop1 give different answers for glmms?", "what is the difference between anova and drop1", "do anova and drop1 give the same answer" ]

[ "which is an outlier", "why would a rgb outlier be used", "what is a flicker", "what's the meaning of the term flicker?", "what is the measure of light brightness", "what is flicker?", "how does light intensity affect outliers", "what is a flicker", "what is flicker in mrp", "how to find out if light is dark", "why does light show a different color", "what is the euclidean distance of brightness", "why is flickering light useful", "which characteristic is a measure of brightness?", "what is a flicker", "where do outliers come from", "how to find outlier in brightness", "what is the difference in the brightness of a single light source and outliers", "how to find the difference between brighter and darker", "what is the outliers of the luminosity" ]

[ "ramax order stock market forecast", "what is the best order to do an arimax trade? how to set it?", "what is the best stock forecast", "best order for stock price predictions", "best stocks to purchase in arimax", "what is the best stock order", "how to predict stock price", "what order does arimax order stock pick", "what is the best stock price", "what is the best order of the armax system", "what is the best order in aarmax", "arimax order stock price", "how to find stock price", "arimax order stock price predictions", "what is the order in the armax", "best stock order", "which stock model is the best", "argamax model stock price predictions", "what is an arimax order", "what is arimax order stock" ]

[ "why use prior in ml and bayes", "how to choose prior in ml", "how to choose prior to Bayes", "how select priors for a Bayesian model", "how to pick prior to using Bayes", "how to pick prior in ml", "why do we pick priors for parameters?", "how to pick prior in bayesian parameter estimation", "how to choose prior parameters in ml", "can you choose prior in ml", "how to pick prior in maa", "how to pick prior in bayesian model", "can i use a prior method in a Bayesian model", "which is better prior prior or conjugate prior", "how to use prior in bayesian", "how to pick prior for parameter estimation using map", "which method is preferable for a prior in Bayes?", "which approach to use for parameter estimation", "how to pick the priors for a parameter", "what is the prior in mapping ml" ]

[ "sd is higher than assumed for poisson regression in technician counts", "how to determine sd in poisson regression with dependent variable", "how to figure sd", "how to calculate sd for poisson regression", "which variable is higher than assumed in poseon regression?", "how to determine if an independent variable of a measure is greater than the normal sd in poisson regression", "how is the sd of a polynomial distribution calculated", "how to determine if a sd is higher than expected", "what would cause sd to be higher than sd expected in poisson regression", "do i have to do a range in the sd", "which statistic is higher for poisson and poison regression?", "why is the sd of the technician higher than assumed in poisson regression", "why are sd values higher than expected", "what is sd of poisson", "what is the sd of a p value in poisson regression", "sd of poisson test", "how do i measure an independent variable in poisson regression and compare it to a standard deviation", "how do you calculate sd in poisson regression", "how to calculate a sd of one technician in a poison regression", "how do i calculate the sample size" ]

[ "probability of discrete event", "what probability is the result of an experiment", "Probability of discrete events", "probability of discrete events", "probability of discrete events", "what is the probability of discrete event", "how many experiment are there a", "what is the probability of discrete events", "average probability of discrete events", "what is the probability of discrete events in an experiment?", "probability of discrete events", "probability of discrete events", "what is the probability of discrete event", "what is the probability of discrete event", "what is the probability of discrete events", "probability of discrete events", "probability of discrete events", "what is the probability of discrete events", "how to measure probability for a discrete event", "probability of two discrete events" ]

[ "what is tikz plot template", "where can i build line plots on a latex project", "how to design line plots in latex", "what is line plot in tex", "what are plot styles", "what type of plot for a latex document", "what kind of plots can be made using tickz", "how to create a plotted document", "can a latex plot be used a tikz plot", "where to find quality graph template", "what tool to use for line plots", "can you use line plots", "what type plotter for latex", "is there any program that makes line plots", "which type of plots template can be used in a latex file?", "what software to use to create line plot", "what program to use to create a plot", "what is the purpose of gnuplot?", "what kind of plot do you need for a latex publication", "what is plot styles on a latex document" ]

[ "cex.lab plot what is the optimum width", "how to get cex axis", "calculate cex.axis", "how to calculate cex.axis", "how to calculate cex.axis", "how to calculate cex.axis", "calculate axis", "how to fit a plot in r", "how to calculate cex.lab", "what is cex.lab", "how do you calculate cex axis", "how to use cex.axis in r", "calculating cex.axis automatically", "what is the largest cex in r", "how to enlarge r plot using cex.lab", "how to calculate cex.axis in r", "how to enlarge text in r using cex.lab", "what is the largest axis in r", "which way should we find the largest cex.lab in r plotting", "calculating cex axis automatically" ]

[ "can you use robust standard error in confint", "what is the robust standard error used in confint?", "can confint use robust standard error", "why use robust standard error", "what is the robust standard error used in confint", "how to use robust standard error", "can confint use robust standard errors", "what package has robust standard errors", "what is confint used for", "what is robust standard error used for", "which package does confint use", "what model does confint use", "what is the purpose of confint", "can confint use robust standard errors", "what model uses robust standard errors", "what type of error is used in confint", "when is an error robust in confint", "when to use robust standard errors confint", "when using confint what is the robust standard error", "how to use robust standard error" ]

[ "what does concave mean in the graph", "what is the function concave", "what is the difference between a continuous variable and a concave variable", "when using $h(j)$, the graph will be concave in the following sentence", "what is the function for h(j)$", "what is a function of $j?", "what is the function j", "is $h(j)$ a concatenated function?", "which function is always a concave", "what type of function is $q", "what is the graph of the j function", "is $j a concave function?", "is j a function of $j", "is $h(j)$ a vector in continuous distribution", "what is the difference between continuous and concave?", "what class of distribution is the function $j in", "what is the function for h(j)?", "what type of distribution is x?", "what type of distribution does concave represent", "what is the concave function for $j" ]

[ "what is the risk parameters for observed choice", "estimating risk parameters from observed choices", "how to estimate the aversion risk", "what is expected risk aversion parameter", "risk parameters from observed choices", "which parameter is expected to be measured by observers?", "how do i figure expected risk aversion parameters", "how to find risk parameters", "when estimating risk parameters,", "cost variances estimate the risks", "how do you estimate risk parameter", "how to estimate risk aversion parameter", "how to find risk parameters", "how to estimate risk parameters", "how to find risk parameters", "how to estimate the expected risk for a sample of people", "estimating risk parameters from observed choices", "how do you estimate risk parameters", "why do we have to use the observed choices", "how to estimate risk parameters" ]

[ "what is an average likert score?", "how do you scale a likert item?", "how do you rescale a likert scale", "what's the average likert attitude", "what is the average likert attitude", "average attitude scale", "what is the average attitude on a likert scale", "how to scale likert items", "why resize likert items", "rescaling likert to 0", "what scale to scale on an attitude scale", "what is an advantage of rescaling likert items?", "what scales do you use to assess likert", "average attitude scale", "how do you rescale likert item scores", "what is the average attitude of a person on a likert scale?", "what is an advantage to having items scaled", "average likert scale for marijuana", "what is the likert scale in psychology", "what is the average likert score" ]

[ "which observation is an intuitive view of similarity between observations?", "what's wrong with the intuition that kernel measures similarity between observations", "what's wrong with the intuition that kernel measures similarity between observations", "which intuition measures similarity between observations?", "what measure is similarity between observations in a kernel", "what's wrong with the intuition that kernel measures similarity between observations?", "what does kernel measure", "what measures similarity between observations", "what is the kernel measure", "what's wrong with the intuition that kernel measures similarity between observations", "what is the intuition kernel", "does kernel measure similarity", "what's wrong with the intuition that kernel measures similarity between observations?", "what measure similarity of observations", "what is it about the kernel that measures similarity and is a good example of a good intuition?", "what's wrong with the intuition that kernel measures similarity between observations?", "what is the measurement kernel?", "what is kernel", "where does the intuition kernel measure similarity", "which of the following measures similarity between observations?" ]

[ "how best to communicate uncertainty", "which is an example of a statistical uncertainty?", "how best to communicate uncertainty to the public", "what is the communication of uncertainty", "how is uncertainty interpreted", "how do statistics help communicate uncertainty", "how to communicate uncertainty", "how can scientists communicate uncertainty", "what is a good example of uncertainty in statistics", "how do we communicate uncertainty", "how to communicate uncertainty in statistics", "which problem arises when an organization communicates a number with the general public", "how to communicate uncertainty", "how to communicate uncertainty", "communication with uncertainty is known as", "why is uncertainty an important message", "what's an example of uncertainty", "why do we need to convey uncertainty in science", "who communicates uncertainty", "how to communicate uncertainty" ]

[ "what is the unit root of log x x y t", "how to determine which regression model uses two different methods", "which difference is i(2) in regression?", "which i(2) process has the second difference in the y_t?", "how do i calculate the second difference if the first difference is i(1)?", "how to determine whether unit root is stationary", "how to find the unit of regression of log x_2t", "what is the difference between i(1) and i(2) regression", "which statement best describes the difference between the i(1) and the i(2) process?", "which % of y_t in delta is stationary", "what is the difference between y-t and x-t", "how to calculate t in regression", "what is the second difference of x", "what is the first difference for the first difference", "what is the relationship between log x and log y", "what is second difference in beta", "when you have both i(1) and i(2) processes, you can estimate", "what is the relationship between y_t and x_t in regression", "what are the second differences of i(1) and i(2)", "what is the second difference of an i(1) series" ]

[ "what is the definition of factorial design", "which factor is used in market research when designing an experimental design?", "what is the design of a market research experiment", "what factors should be included in a market research?", "how to develop an experiment for market research", "how to design a factorial research", "what is the design of the market research", "can a product pitch be a factorial design", "how should market research be designed", "how to design an experiment for market research", "what is likability in market research", "what type of research study is market research used to study", "what factors should be used to develop a market research model", "how to design market research", "how to design market research experiments", "what is the design factor in a market research", "how should an experiment be designed", "what is market research", "what should be included in the design of an experiment?", "market research how many prospectives does it have" ]

[ "what is the ideal demographic composition of a sample sample", "what is the ideal composition of our sample", "what is the ideal composition of a sample", "sample distribution to ideal composition example", "which is the best measure to measure the relative composition of the sample to an ideal distribution?", "what percentage of the sample is upper middle class?", "what is the ideal composition of the sample", "what is the ideal composition for a population", "what sample sample has the best demographic composition", "how do i measure the population composition in a sample", "what's the best measure to measure demographic composition", "what is the composition of the sample for a survey", "how close is the a distribution to the ideal", "what is a sample demographic composition", "what sample is the best demographic composition", "how to determine composition of the sample", "what is the best demographic composition for a sample", "what is the ideal distribution", "what is a good measure of demographic composition?", "what is the average composition of the sample for a survey" ]

[ "what is meant by gender", "can an iv and an iv be used as variables in spss", "how many levels of gender in relation to sensation seeking", "compare mean effects of sensation seeker to other predictors", "what is the difference between gender and sensation seeking", "when to compare v iv and vv", "sss do you compare gender", "what is the measure of the effect of gender based predictors?", "what variable is used to compare the effects of one predictor on another predictor?", "what is the difference between gender and sensation seeker", "what variables compare infidelity", "how to compare the effects of one predictor based on another predictor?", "how is the gender predictor different from the sensation seeker test", "can genders predict sensation seeking", "how to do a v-dv comparison with gender", "why can't i compare the difference between gender and sensation seeking variables", "how do i compare the effects of one predictor on another predictor?", "how to compare effect of one predictor based on another predictor yahoo", "when can we compare iv gender and sensation seeking", "which predictors would you expect to compare the mean gender vs sensation seeking?" ]

[ "why are case studies in public health important", "what is the case study of evidence based epidemiology", "which of the following was an example of public opinion based research involving confounded data?", "why should public health research be used in public health", "which case study was confounded by data", "what is an example of confounded data?", "which is the case of the automobile fatality surge?", "what are case studies that are used in public health education where inferences are intentionally or erroneously employed?", "examples of evidence-based public health", "case study public health", "which case study was a good example of an evidence-based public health policy?", "why are public health case studies important", "when did the automobile fatality surge happen", "what are a few cases of faulty public health research", "which research is an example of evidence based research", "why is public health research useful?", "which government study was an example of which evidence-based study would be used to make policy?", "what is an example of evidence based public health", "what type of research is used to create a case study for a public health study", "what research is used to test public health policy and policy" ]

[ "what is the best way to convey highly skewed data?", "what is the best way to convey highly skewed data?", "when bootstrapping standard errors does the average test for the statistical significance", "what is the best way to convey highly skewed data", "which is best way to describe highly skewed data", "which is the best way to convey skewed data?", "what is the best way to convey skewed data", "can bootstrapping standard errors be positive or negative", "what is bootstrapping standard errors", "what is the best way to convey skewed data", "how best to convey a skewed sample", "how to tell whether a coefficient is higher than zero and why", "what is the best way to convey highly skewed data", "why is a p value misleading when bootstrapping", "what kind of statistics is an empirical standard error model", "best way to convey highly skewed data in a linear probability model", "what are bootstrapping standards", "bootstrapping standard errors definition", "what is the best way to convey the results of bootstrapping standard error", "is bootstrapping standard error positive or negative" ]

[ "what data sample is used to test a hypothesis", "what is the hypothesis test for population", "why do people use the null hypothesis test", "how to test the hypothesis of sample or population for t-statistic", "how to test a hypothesis", "how do you test for a statistically significant null hypothesis", "what is the hypothesis test", "why test for hypothesis", "how to test population hypothesis", "how do you test a hypothesis", "if service time is less than average", "how to test hypothesis testing for population analysis", "how to test the hypothesis using population data instead of sample data", "how do you test the null hypothesis using t-statistic", "what is the sample versus the population hypothesis", "how do i test hypothesis test", "what is the hypothesis test for population", "how to test a hypothesis on a data set", "calculating service time", "what is a hypothesis test for population" ]

[ "why is the gradient boost model based on incomplete data?", "how to calculate probability of new observations based on incomplete data", "can i find the observable missing data by using a model", "how to predict new behavior from incomplete data", "which of the following is a prediction model used to classifies observations", "r how to predict incomplete data", "which statement is true about a r gradient model?", "how to predict new observations", "what is the best way to approach prediction of new observations with incomplete data?", "can I predict new observations", "how can a gradient model be used to predict", "what is the average missing data for a gradient boosting model?", "where is the gradient boosting model used", "what is gradient boosting model", "how is a prediction model used", "what is the difference between incomplete and incomplete", "how to model new observations in r", "what is the best way to approach predicting new observations with incomplete data from a model built on", "when to use a model of incomplete observations", "what is the best way to approach prediction based on incomplete data?" ]

[ "which of the following is the difference between gee and iee", "what is the difference between iee and geo", "what is the difference between cie and gee?", "what is the difference between iee and gee", "what is the difference between iee and gee", "what is the difference between a qse and a sei", "difference between iee and gee", "what is the difference between iee and gee", "what is the difference between iee and gee", "what is the difference between iee and ges", "what is the difference between iee and gee", "what is the difference between iee and goe", "what is the difference between iee and gee", "what is the difference between iee and gee", "what is the difference between an independence estimating equation and a iee", "difference between iee and gee", "define iee and gee", "what is the difference between an iee and gee", "what is the difference between iee and gete", "what is the difference between iee and gee" ]

[ "what is the motivation behind the algorithm for constructing a tree in the forest?", "what is the purpose of the random forest algorithm", "why bootstrapping is needed", "what is the motivation of the random forest algorithm", "random forest how to", "why is bootstrapping necessary in a random forest algorithm?", "what is motivation behind random forest", "what is the purpose of random forest algorithm", "how to do a random forest", "what is the motivation behind random forest algorithm", "why is it necessary to construct a random forest algorithm", "define random forest algorithm", "when you bootstrap a random forest, what is the purpose of the forest", "why is random forest algorithm so useful", "what is the motivation behind random forest", "what is the motivation behind an algorithm", "how to make a random forest", "how to run a random forest", "what is motivation for bootstrapping", "how to create random forest" ]

[ "how to compute intervals from generalized equations", "what is the procedure for computing a prediction interval from generalized estimating equation output?", "how to compute prediction intervals", "how to compute prediction interval", "how to compute a prediction interval", "how to predict interval", "what is the procedure for computing a prediction interval from a generalized estimating equation?", "generalized estimator how do i compute the prediction interval", "how do you compute prediction intervals from a generalized estimating equation?", "which statement best describes the procedure for computing the prediction interval?", "how to compute the prediction interval", "what is the procedure for computing the prediction interval from generalized estimating equation output?", "what is the procedure for computing the prediction interval for future observations given values of the predictors?", "how to determine a prediction interval", "how do you calculate a prediction interval", "what is the procedure for computing the prediction interval for future observations given values of predictors", "how to find the prediction interval", "how do you compute the prediction interval from the generalized estimate output", "what is the procedure for computing a prediction interval from generalized estimating equation output?", "what is the procedure for calculating a prediction interval from generalized estimating equation output?" ]

[ "when is the logistic regression weights used", "when should i use sampling weights in logistic regression", "which sampling weights are necessary in logistic regression", "when should i use sample weights", "when does logistic regression use data sample weights", "when to use sampling weights in a logistic regression", "when do you use logistic regression", "when should i use weights for logistic regression", "when should i use sampling weights?", "when is sampling weights necessary for logistic regression", "when do you use weights in logistic regression", "when do you do weighted logistic regression", "why is weighted data needed for logistic regression", "when do you use weights in logistic regression", "when to use weight in logistic regression", "when should weights be used for logistic regression", "when should you use weights in logistic regression", "when should i use logistic regression", "when should you use weights", "are weights needed in logistic regression" ]

[ "the hat matrix of the r model has no bearing", "what is the meaning of matrix hat", "what is the hat matrix used for the r regression model", "what is the hat matrix of a logistic regression?", "what is the hat matrix", "logistic regression what is the hat matrix", "what is the hat matrix in logistic regression?", "what is the hat matrix in logistic regression", "which matrix is used for logistic regression model", "hat matrix definition", "what is the hat matrix used for", "what is the hat matrix in logistic regression?", "how is the hat matrix used", "how to find the hat matrix", "what is the hat matrix of logistic regression", "what is the hat matrix?", "what is the hat matrix", "what is the hat matrix in logistic regression", "how to find the hat matrix", "what is the hat matrix in regression?" ]

[ "what is the normal distribution of a random variable", "what is the average distribution fit for the tail of a random variable", "why would a distribution be modelled based on the tail only?", "how to model the tail of a random variable", "what is the normal distribution fit for normal", "what is the model of the tail", "when modelling a variable with a tail, what does it mean", "which random variable is modelled by a normal distribution fit?", "which variable is only about the tail", "what is the normal distribution for a random variable", "how to model random variable tail", "what model should i use on the random variable", "which variable is the most likely random variable", "what is a normal distribution", "why model a random variable", "how to model a tail only", "what is the tail of a random variable", "what model would you use for a random variable?", "what would a normal distribution fit a random variable?", "which random variable is a normal distribution" ]

[ "how does logistic regression compare to a t-test", "what is the test for power", "logistic regression is used with which method", "does binomial distribution have a power", "which is an example of a logistic regression", "what is the power of logistic regression", "how does the power of the logistic regression compare to the power of the t test?", "does t-test and logistic regression are different", "how does logistic regression compare", "can the power of a logistic regression be used with a t-test?", "how does the power of a logistic regression compare to a t test", "how is the power of logistic regression and t-test similar?", "what is the power of logistic regression", "what is the power of logistic regression", "how does the power of a logistic regression compare to a t-test", "what is the relationship between power and power in logistic regression?", "what is the power of statistical methods", "is power of logistic regression same as", "does the power of logistic regression compare to t", "how does the power of a logistic regression compare with a normal t test" ]

[ "r how do you find coefficients", "what is princomp", "how to get coefficients from princomp in r", "how to get coefficients from princomp object in r", "how to get coefficient in princomp", "how to get coefficients in parachute", "if r calculate coefficients what do i need to do", "how is coefficients computed in r", "r get coefficient", "how to use princomp in r", "defining coefficients in r", "how to get coefficients from princomp object in r", "how to get coefficients from princomp in r", "r __________ returns the coefficients", "what is princomp in r", "how to get coefficients from princomp object in r", "how do i get coefficients from a princomp object in r?", "how to get coefficients from princomp object?", "how to extract coefficients r", "what is princomp" ]

[ "can we test randomness of a password?", "if someone is randomly generated a password will they know the password", "can randomness be tested", "how do you test randomness of passwords", "how to test randomness of password", "what is the test for randomness", "can i test randomness", "can you measure randomness with a password generator", "how to do a random password test", "how to test randomness of a password", "can you test the randomness of a password", "can i test randomness in random passcode", "how to analyze randomness of passwords", "can we test randomness of passwords", "can you test randomness of a password generator?", "what test does randomness of a password need to be?", "how to check the randomness of a password", "how to test randomness", "can you test the randomness of a password?", "________ is a random password" ]

[ "can a pca be used with a pls", "why are pca and pls different", "when are pca and pls combined", "which is better, a pcla or pls", "pca and pls definition", "is pca a partial least squares method?", "how to run a pca in a model", "can you run a PLS with 10-20 pca components", "what is the best method of principal component analysis", "which is better principal component analysis or partial least squares?", "which is better principal component or partial least squares", "what is the difference between pls and pca", "what's a pca", "how many components of the pca and pls", "which pca is better than pls", "when to use pcla and plis", "what is the difference between pca and pls", "what is the difference between PLS and pca", "what is the power of pca", "what is the difference between principal part analysis and pls" ]

[ "which algorithm can be used to find the optimal label combinations?", "how can alpha expansion algorithm be used", "can the alpha expansion algorithm be used for graphs with different sets of labels", "which algorithm can be used to find the correct label combination on the graph?", "what is the alpha expansion algorithm used for?", "which algorithm can be used in an alpha expansion model?", "can alpha expand a Graph", "can alpha expansion algorithm be used for graphs", "how to use alpha expansion algorithm", "what is alpha expansion", "what is the algorithm that is used to generate labels", "how can an algorithm be used in a pgi graph", "does alpha expansion work on graphs", "can an alpha expansion algorithm be used to solve a graph with different sets of labels?", "how to use alpha expansion algorithm", "which algorithm is best for alpha expansion?", "algorithm for algebraic expansion", "why do scientists use an alpha expansion algorithm", "which algorithm to use for an alpha-expansion", "which statement is an example of an alpha expansion algorithm?" ]

[ "how do we communicate demographic trends to society", "statistics how many people in a city", "what frame of reference is used for demographics", "what is the meaning of 100,000", "how does 100,000 people make sense", "how to explain a population per 100,000", "which statistic is helpful in putting population out of 100,000", "what frames of reference or analogy have you found to be successful in helping people put rates out of 100,000 in perspective, for example?", "how to help people understand per 100,000", "is 100,000 considered a small city", "what frame of reference are statistically useful", "how to help people understand the statistics", "what's a 100,000", "when you say 100,000 people is too small, how many people in a city", "how do you help people understand per 100,000", "how many people in a city", "what is the average population for 100,000 people?", "how are demographic trends communicated", "what frame of reference is used to put rates out of a 100,000", "which statistical framework is useful" ]

[ "how to do linear discriminant analysis on vector", "how to do a linear discriminant analysis", "how to make linear discriminant analysis reduce the parameters", "how to reduce dimensions", "how to reduce the size of a matrix using a discriminant analysis", "how to reduce dimension of matrix", "can linear discriminant analysis reduce dimensions", "how to decrease the size of the matrix", "how can linear discriminant analysis reduce dimensions", "how to reduce dimensions in linear discriminant analysis", "how to reduce dimensions of matrix", "how does linear discriminant analysis lower dimensions", "how can lda reduce the numbers of dimensions", "how do you reduce dimensions", "how does lda reduce dimensions", "how can lda reduce numbers", "how can lda reduce dimensions to the number of dimensions", "how do you reduce dimensions in lda", "if a measurement is linear discriminant analysis, what is the target parameter?", "lda definition of dimensions in math" ]

[ "absolute error minimization definition", "absolute error minimization definition", "what is the proof of absolute error minimization for the Bayesian choice?", "what is the absolute error loss minimization", "absolute error loss minimization", "absolute error loyd minimization", "what is absolute error loss minimization", "absolute error cost minimization", "what is the proof of absolute error minimization?", "what is the proof of absolute error loss minimization", "what is absolute error loss minimization in linear algebra robert", "which method uses absolute error minimization?", "absolute error cost minimization", "absolute error loss minimization", "absolute error loss minimization", "what is error minimization in error minimization", "where does absolute error loss minimization come from?", "what is the fractile representation of the Bayesian estimating unit", "which method is used to determine absolute error loss minimization", "what is absolute error minimization" ]

[ "what are the main functions of a regression tree", "which tree is best for predicting ols", "is ols predictive", "does a tree dominate the regression test?", "why does regression trees dominate ols prediction?", "do tree regression tests work", "what is the difference between an ols and a regression tree", "what is the purpose of a regression tree? how do you tell if an ols is robust", "what is meant by tree of regression", "does a regression tree dominate ols", "what is a regression tree in OLs", "do regression trees dominate ols", "does the regression trees rule out the outliers", "what is the difference between a tree and a regression tree", "does a regression tree strictly dominate ols in prediction", "what is regression tree", "is ols more reliable in prediction", "what is the difference between a regression tree and an ols tree?", "what is ols regression", "which algorithm is best to predict an outlier?" ]

[ "what is robust standard error in spss", "what is robust standard error in spss", "what is standardized coefficient", "can a standardized coefficient be adjusted for robust standard error?", "what to do with standardized coefficients", "what is robust standard error spss", "is r squared robust standard error", "robust standard error in multiple regression", "what is the robust standard error in multiple regression analysis", "standardized coefficients excel", "when to use robust standard errors in regression analysis", "does spss have robust standard errors", "what is the robust standard error in spss", "what is robust standard error", "what is the standard error of spss", "how is robust standard error calculated?", "what is the best macro to use for robust standard errors in multiple regression?", "which statement about robust standard errors is used in multiple regression analysis?", "does spss have robust standard errors", "what is robust standard errors" ]

[ "what does a data bias correction do?", "what is the purpose of bias correction", "what are correction biases in a linear regression equation", "what is the bias correction", "what is bias correction", "what is bias correction", "what is bias correction", "what is bias correction", "what is bias correction", "when is bias corrected for linear regression", "what is bias correction", "what is bias correction", "what is the corrective bias correction", "what is the ________ correction", "when do you correct bias in a regression?", "what is the purpose of bias correction", "what is the bias correction in statistics", "what is bias correction", "what is bias correction", "what is the bias correction" ]

[ "what is the probability that someone will flip a coin", "how many people flip a coin", "what is the probability for coin flipping", "how many people are able to flip a coin", "what is the probability distribution for coin flipping", "how many times do you flip one coin", "how many times does a coin flip correctly", "which distribution of numbers is correct for coin flipping", "how can you test the probability of a person flipping a coin", "how many people get all the wrong with a coin flipping", "what is the probability distribution of a coin flip", "how many times do people flip a coin to find out the psychic", "how many times will someone flip a coin", "what is the probability of coin flipping", "how to find the probability of flipping a coin", "how many times do people flip a coin", "how many people flip a coin a day", "probability distributions for coin flipping", "what is the distribution of coin flipping?", "how many people have to flip a coin before accepting the null hypothesis" ]

[ "how to determine expected ranges", "what is the expected standard deviation", "average standard deviation of normal distribution", "what is standard deviation in statistics", "what is the expected value and deviation of the expected standard deviation", "how to calculate expected deviations", "how to figure expected value and standard deviation", "how to calculate expected value and standard deviation", "when standard deviation is adjusted for a normal distribution", "what is expected value", "what is expected value and standard deviation", "how to determine expected standard deviation of averages", "how do you figure expected value and standard deviation", "expected value and standard deviation", "standard deviation for standard deviation", "how to find the standard deviation and expected value in a distribution", "what are expected values for standard deviation", "expected value standard deviation", "what does normal deviation mean in a sample", "what is normal distribution and expected value" ]

[ "why is temperature a factorial effect in factorial design", "what is factorial design in anaNOVA", "is temperature a factorial factor", "is it a factorial design or factorial design", "what is the factorial design", "is a three way anaNOVA a split plot", "what makes a split plot a factorial design", "what is the difference between split plot design and factorial design", "is the factorial design of an asova the same as the factorial design", "when does the temperature type of an experiment change", "what is factorial design", "what is factorial design", "what does factorial design mean?", "what is the difference between a factorial design and an analyzer?", "why are factorial designs used in statistics", "what are factorial designs", "which is better the factorial design or the factorial design", "if your temperature is fixed, what is the factorial design", "is heat compared to temperature", "what is the design of a split plot" ]

[ "what is the cumulative plot", "what's a cumulative plot", "what is a cumulative and sum plot", "what is a cumulative plot", "what is the cumulative plot of a data set", "what's a cumulative plot", "what is cumulative plot", "what is the plot called for a site", "what is a cumulative plot", "what is a cumulative plot in a graph", "what is a cumulative plot?", "what is cumulative plot", "what is the aggregate plot for participation inequality", "what is the function of the cumulative plot", "what does cumulative plot mean", "__________ is a cumulative plot.", "what is the purpose of cumulative plot", "what is the lorentz curve plot", "cumulative plot definition", "what is a cumulative plot" ]

[ "how to detect outliers", "what is outlier detection", "why would a monetary outlier be detected", "what is the outliers of accounts", "when an account moves millions on any day", "how to identify outliers in cash", "what's the definition of outlier cash", "what is one example of cash outliers", "when are outliers identified?", "how to find out if an account is a clear outlier in a timeseries", "what is the definition of a clear outlier?", "what's the most likely outlier in cash flow", "what is an outliers", "why do accounts move outliers in cash", "what is the correct measure for detection outliers?", "how do i detect outlier movements in cash", "how to find outlier", "what would be an outlier cash flow", "why is outlier detection useful in timeseries", "how to detect outliers" ]

[ "which type of conditional sampler used for exponential conditionals", "gibbs sampler definition", "when does gibbs sampler work", "what is gibb sampler in r", "gibbs sampler for exponential conditionals", "gibbs sampler for conditionals that are exponential", "if conditional is exponential what is the gibbs sampler", "gibbs sampler example", "what is the gibbs sampler in x?", "example of gibbs sampling in r", "what is gibbs test? explain what he is used for in the simulation of exponential equations.", "which condition is an exponential", "what is gibbs sampler example", "gibbs sampler equation", "what is gibbs sampler in excel", "what type of interval is a gibbs sampler", "where is gibbs sampler", "Gibbs Sampler Example", "Gibbs sampler for exponential conditionals", "what is the gibbs sampler example used for in r" ]

[ "can we interpret a time series as cross sectional data", "what if you interpret time series as cross sectional", "what kind of data do cross sectional analysis include?", "can you interpret time series as cross sectional data", "is time series used for cross sectional analysis", "can i use time series as cross sectional data", "time series as cross sectional data", "what is time series and cross sectional analysis", "time series as cross sectional", "do time series have an economic explanation", "how to interpret time series in economics", "what would you use instead of time series?", "why do people interpret time series as cross sectional data", "what are cross sectional data examples", "what if time series are cross sectional data", "why interpret time series as cross sectional data", "when do you use time series data", "what if time series used as cross sections", "time series can be used as cross sectional analysis", "can cross sectional analysis be performed for time series?" ]

[ "why do i need uneven sampling of spectrum", "how to interpolate data", "what spec is a wavenumber called", "what is the purpose of this interpolation", "what is the purpose of interpolating spectra?", "how to interpolate a spectrum", "which wavelength does the interpolated spectrum have?", "interpolation spectrum definition", "what is the process of uneven sampling in the spectrum", "why can't even sampling of wavelengths be performed? how to do this?", "interpolations definition", "how to even sampling in spectroscopy", "what is the step size of wavelength when interpolated", "what is even sampling", "how can i do a uniform interpolation", "how to use interpolation", "what is the step size of an even sampling spectrum", "how to measure the uneven sampling of a spectrum", "what is interpolation of spectra", "why is it necessary to interpolate an entire spectrum?" ]

[ "how to find the difference between an ordinal regression model and one dimensional model", "why would a model of ordinal regression differ from an ordinal model of linear regression", "what is an ordinal regression model", "how to check the difference between ordinal and logistic regression", "what does the interaction term mean in the ordinal regression", "how do you measure an ordinal regression", "how to compare a model to an ordinal regression", "how do ordinal model differ from other", "is ordinal regression model a statistical model", "can a ordinal model be significantly improved", "how to compare models of ordinal regression", "how can i see whether an ordinal regression model has improved", "which model is an example of an ordinal regression model in math", "how do ordinal regression models differ", "do two models of ordinal regression work?", "what can i compare to another model with an ordinal regression", "do ordinal regressions improve", "what is a ordinal regression model", "can you compare two different ordinal regression models?", "how to compare two regression models" ]

[ "which of the following are independent variables in the prediction of the scores of the movie?", "what is the independent variable for movie scores", "what is the independent and dependent variables", "which of the following variables is the best predictor of scores?", "which variable is the strongest predictor of the score of a movie?", "how to determine the score of a maova movie eg", "when a movie has 4 independent variables", "is manovo appropriate", "what is the relationship between score_children and seat_cost in nova", "which of the following variables is the best predictor of both scores?", "what is the independent variables in a score", "what determines a movie''s score?", "what does the independent variable do", "cgi_budget is the independent variables", "what is the independent variable of the scores in a movie", "does score_children influence outcome in a movie", "if a score is a constant what is the independent variable?", "which of the following is an example of a manova?", "what is the role of independent variables in manova?", "what is the independent variable" ]

[ "how does rpm achieve sparsity", "what is sparsity in rpm", "how does rvm achieve sparsity", "how does rpm achieve sparsity?", "what is rvm used for", "what is rvm sparsity", "how does rvm achieve sparsity?", "how does rvm achieve sparsity", "how does rpm achieve sparsity", "how does rvm achieve sparseness", "how does rpm achieve sparsity", "how does rvm achieve sparsity", "how does rvm achieve sparsity", "how does rvm achieve sparsity", "how does sparsity of rvm work?", "sparsity how do you achieve", "how does rvm achieve sparsity", "how does rvm achieve sparsity", "how does rvm achieve sparsity", "how does sparsity of rvm work" ]

[ "which candidate is stronger obama or romney", "which of the following is higher on my likert scale than a neutral", "what is the bipolar scale", "what is the likert scale", "what is the best way to compare two objects", "how should I compare a bipolar poll", "which candidate is stronger obama or romney", "what is the likert scale used to rank two objects", "what is the likert scale", "what kind of test is hypothesis testing", "how to rank bipolar poll items", "which candidate is most desirable", "which of the following is the strongest possible obama candidate?", "what's bipolar likert", "which candidate is more desirable?", "how to do bipolar analysis", "which candidate is stronger neutral or neutral", "what is the bipolar scale for voter likerts", "which obama candidate is stronger bipolar or neutral", "which candidate i compared most on a bipolar likert scale" ]

[ "how many independent variables are in the third category of a multinomial logistic regression", "how to choose a reference factor for a multinomial logistic regression", "which factor should be chosen when choosing a reference factor in a multinomial logistic regression?", "why is it important to choose reference factor in logistic regression", "which factor is important in logistic regression", "when choosing reference factor for a regression model in multinomial logistic regression, the __________________________ is the only variable in which the largest group of independent and dependent variables is included.", "what factor is reference factor in multinomial logistic regression?", "which category is considered reference in the logistic regression", "what is a reference factor in logistic regression", "how many independent variable in a multinomial logistic regression", "which variable is considered the largest group in multinomial logistic regression", "which criterion is used for a reference factor in logistic regressions?", "what is the reference factor for each type of variable", "which is the reference factor in multinomial logistic regression?", "when to rely on a reference variable or dependent variable in a multinomial logistic regression", "is there any criterion about choosing a reference factor in multinomial logistic regression?", "is there any criterion about choosing a reference factor in multinomial logistic regression?", "if a variable is a reference factor in logistic regression, which is the reference factor?", "is it a criterion to choose a reference factor in logistic regression", "when choosing reference factors in regression" ]

[ "standard error definition", "what is normal error for fixed effect", "what is the range of standard error for fixed effect", "what is the standard error range for fixed effects?", "what is standard error for fixed effects", "what should be standard error value for fixed effects", "what should standard error value in proc mixed", "what is standard error value in hierarchical data?", "what is standard error for fixed effects", "what is standard error range for fixed effects", "what is standard error for fixed effects", "what should be the standard error range?", "standard error range", "standard error for fixed effects", "what value is acceptable for error for fixed effects", "what should be standard error value", "which error value should be used for fixed effects?", "what is acceptable standard error for fixed effects", "what is the acceptable standard error range for a fix?", "what is standard error for fixed effect" ]

[ "why do exploratory factor analysis", "which question should be excluded", "which factor is used for exploratory factor analysis", "cross loadings in a promax in factor analysis", "which questions cross load onto three factor", "when to remove inter-correlation questions from exploratory factor analysis", "do promax rotations imply inter-correlation?", "what is the promax for exploratory factor analysis", "can promax rotation be used to calculate factor cross load", "why do we use a promax in an exploratory factor analysis", "what factor is used to crossload", "how to conduct exploratory factor analysis", "what is a factor cross loading", "which factor is cross loaded in exploratory factor analysis", "what is the promax in a factor crossloading", "which factor cross loading is best for exploratory factor analysis", "which factor to consider when conducting exploratory factor analysis", "what is the purpose of promax in exploratory factor analysis", "can you cross load two or three factors", "which factor load question is a good example for exploratory factor analysis? what factors will cross load question questions" ]

[ "when to use weighted average payback rate", "how to do a linear regression", "what is the difference between payback rate of new customers and payback rate of existing customers", "which variable is used for logistic regression", "linear regression examples", "what is the payback rate", "what is the payback rate in gini coefficient", "what is the linear regression model", "how to model payback rate", "what is linear regression with independent variables", "how to find payback rate", "what is payback rate in a linear regression", "how to calculate payback for customers in linear regression", "why are there two independent variables in a payback regression", "how to find the payback rate of a business on average", "how do you do a linear regression?", "___________ is the relationship between the payback rate of an independent variable and the percentage of total customers who pay back", "how to model payback rate using linear regression", "how to model payback rate", "what is the relationship between payback rate and payoff" ]

[ "how to discretize continuous attributes", "discretizing continuous attributes", "how to discretize continuous arithmetic", "how to discretise continuous attributes", "how to discretise continuous information", "can you discretise continuous attributes", "can continuous attributes be discretized in id3 software", "how to discretise continuous attributes", "what is continuous", "can you discretise continuous attributes in a data set", "what are continuous data attributes", "which of the following methods is used to discretize continuous attributes?", "id3 algorithm discretization", "what is discretization in continuous data set", "id3 how to discretise continuous attribute", "how to discretize continuous attributes", "id3 how to discretize continuous attributes", "can you use discretization for continuous data", "what is the discretization of continuous attributes for id3?", "how can you discretize continuous attributes" ]

[ "what is the incomplete data in kalman filter", "what is incomplete data in kalman filter", "kalman filter incomplete data", "incomplete kalman filter", "how do you handle incomplete data", "why is the dimension of the observed vector different?", "how to handle incomplete data in kalman filter", "which type of data is missing in kalman filter", "what is a kalman filter used for?", "what is kalman filter", "which of the following is a characteristic of incomplete data in kalman filter?", "how to handle incomplete data in kalman filter", "why is incomplete vector missing", "what is the definition of incomplete data in kalman filter", "what are kalman filters", "when incomplete data is reported", "what is the purpose of incomplete data in kalman filter", "how to filter a vector", "what is incomplete mean in kalman filter", "kalman filter ________ function" ]

[ "what is the full form of a posterior mixing coefficient", "how to find posterior mixing coefficients", "what is gaussian pdf", "how to calculate posterior mixing coefficient", "what is the function for the posterior mixing coefficients in a gaussian equation", "when is the determinant of the sigma", "what is the correct formula to evaluate a posterior mixing coefficient", "what is the posterior mixing coefficient", "what is the formula for the posterior mixing coefficients", "where is the coefficient for the posterior mixing coefficients?", "what is the formula for posterior mixing coefficients in gaussian PDF", "which of the following functions is used in gaussian pdf?", "how to find mixing coefficients in a gaussian mixture prior", "which statement is appropriate for an inverse gausssian mixture prior and is not used in the posterior mixing of all coefficients?", "what is the formula for the coefficients for the posterior gaussian mix", "how to estimate the posterior sigma", "what is the function of a posterior mixing coefficient", "which function is used to find the posterior mixing coefficients in a gaussian mixture prior", "how to find posterior mixing coefficients", "how to find posterior mixing coefficients" ]

[ "how to estimate survival function", "what is survival function", "survival function definition", "how to do a survival function", "which survival function is a cumulative survival function?", "survival function definition", "estimating survival functions", "what is survival function", "survival function method", "what is the survival function of survival function", "what methods do i use to determine survival", "calculating survival function", "how to calculate survival function", "how do you estimate survival", "survival function cdf definition", "when do you use survival function in survival function", "what is survival function", "what is the survival function estimate", "method of estimating survival function", "how to calculate survival function" ]

[ "how to estimate p value for a group of words on dna", "which hypothesis can be used to find a p value for a word on a dice", "what is the test p for a dna hypothesis?", "why are the dna dies dependent", "how to determine the p value of a dna die", "which type of hypothesis is a die", "do permutations of words have a dependent distribution?", "is a die p value independent?", "is the die a hypothesis?", "can dna predict word distributions", "do hypothesis have to be independent in order to test hypothesis", "can you test multiple hypothesis corrections in dna sequences", "why is the p value of the die used when testing a hypothesis", "what would a p-value be for a random die", "how is the hypothesis of a random dna sample used", "can you use multiple hypothesis correction", "what hypothesis is dependent on the dna distribution", "can i find out if the die has a bias?", "can you calculate a hypothesis on a dna sequence", "which hypothesis is independent of the other" ]

[ "how to compute gradients in rbm", "what are the gradients in rbm", "weight gradient computed", "how is the weight gradient calculated in RBM", "how to compute gradient for rbm", "weight gradients for convolutional rbm", "how to compute gradients in convolutional rbm", "what is the gradient rbm", "how to find bias gradient", "how to compute rbm weights", "weight gradient convolutional rbm", "how to find weight gradient in rbm", "how to compute weight gradient", "what is the gradient for convolutional rbm", "what is the weight gradient of rbm", "how to do a weight gradient rmb", "how to calculate rbm gradient", "weights gradient for convolutional rbm", "what gradient does rbm use", "how to compute weight gradients in rbm" ]

[ "can you predict a single dose using dummies", "r generates a dichotomous variable", "how to determine which variable is optimal?", "what is the best combination of doses?", "what type of data does r generate", "if a variable is dichotomy which identifier would be the optimal combination of doses given", "which variable is used in the r system to predict the outcome of a given dose?", "what is the best dose aabb", "if genotype and age is different what is the best combination of doses", "how to use predictive model in r", "what is the outcome and the genotype in a model?", "what is the sex of the subject in r", "what does genotype do in r", "what does the outcome of a random dose of adna mean", "what is the optimal combination of doses that will give a positive outcome with the highest probability?", "which parameters are in the linear model of a dichotomous variable?", "what is the optimal combination of dose", "when a given dose is a positive outcome, what is the optimal combination", "what is the best combination of dose and genotype to predict a positive outcome with the highest probability", "what is the function that can be used to predict a variable?" ]

[ "which model is best for feature interactions? glms", "why do we need multivariate models", "what is a multivariate model?", "which type of neural model should be used for predicting a specific characteristic of a response vector", "what is the difference between a multivariate model and feature interaction model", "which features can be associated with multivariate neural networks", "what are the different types of multivariate models?", "what are some multivariate models and what are their functions", "what is an example of a multivariate model", "what is a model of feature interaction", "what is the difference between a multivariate model of life cycle", "what are multivariate model", "what type of model can predict an element of the response vector in real time?", "how fast does a multivariate model work", "what is the difference between a multivariate model and a linear model?", "what is a multivariate model", "why is a multivariate model necessary", "what is the multivariate model", "what is the purpose of a multivariate model?", "can a dmv model include multiple independent features?" ]

[ "what is the normal journey time of a person on an empty road", "what would happen if a vehicle detected is empty and is journeying", "how to figure the approximate journey time for a vehicle", "what's it like when your vehicle is detected", "how do you find out the journey time of a normal car", "how to calculate journey time for a vehicle", "if a vehicle is detected how long is it to go from one spot to another", "when do you get detections of traffic", "what is a detected vehicle", "how to find the journey time", "what does it mean if you detect an empty road", "what is a normal journey time", "what does it mean when a detection of a vehicle in a map is good?", "where to find out a vehicle's approximate journey time", "what does the detection mean in an auto traffic detector", "what is detection", "what is vehicle detection", "what is the optimum distance between vehicle detections?", "how to find journey time of a vehicle in a graph of time", "what is the problem with the detection of vehicles" ]

[ "what is ec50", "how to find ec50 in crnas", "what tests determine ec50", "what to use to find ec50", "crna function", "which test should i use to check whether ec50s in my three dose response relationships are different or not?", "what is the difference between an ion channel and an ion channel a", "which test will find whether ion channels are different or not", "which test should i use to determine whether crnas are different oocytes", "which test to check if ec50s in my three dose- response relationships are different or not?", "what is ion channel a", "which test is used to determine whether crnas are similar or not", "which test to find whether crnas are different or not?", "what is the test to find ec50", "which test to determine whether the ec50s of an ion channel are different or not?", "which test to find out if crnas are different or not?", "what tests are performed to determine if crna concentrations are different?", "crna is what ion channel", "what is ec50 on each ion channel", "what test determine ec50" ]

[ "what is the mean number of samples before out of control in a p chart", "what is the mean number of samples before out of control", "if the average number of samples before an out of control point falls outside of the control limits", "how to calculate the number of items tested before the control limits?", "p value for mean number of samples", "what is the average number of samples before out of control in p-chart", "how to find the average number of samples before out of control in a process", "what does out of control mean in p chart", "what is the average number of samples before out of control in a p chart", "what is the value of the bar in bar for a process", "what is the average number of samples before out of control in a p chart", "what is the average number of defects before out of control in pchart", "what is the average number of samples before the point of out of control?", "what is the average number of samples before out of control on a process graph", "when an out of control point is determined", "which is a measure of the average number of samples before out of control", "what is the average number of samples before out of control in a p diagram", "how to check the normal number of samples before out of control in p-chart", "the average number of samples before out of control is called", "average number of samples before out of control" ]

[ "what is the measure of a psychological outcome? how to do this in a hierarchical linear model", "what is the final outcome of hlm", "what is the function of the dv in the hlm model?", "what is the proportion in hlm", "how to treat variables that are normally distributed in a hierarchical linear model?", "when do you classify a dependent variable as normal in hlm", "why do we need proportional data in r", "is depression a normally distributed variable", "what is the function of the proportion in a linear model", "is mplus appropriate for hlm distribution", "how are mental health outcomes measured in helix?", "what is the difference between normal and distributed in hlm", "how to treat variables in hierarchical linear models", "what is the final form for a behavioral outcome measure", "what type of variable is depression", "what is the difference between normally distributed and non-distributed hlm", "how to determine the distribution of the outcomes", "what is the distribution of dv for a model", "what is the measure proportion", "what is the distribution of a variable" ]

[ "what is marginalizing", "marginal distribution in statistics", "what is the marginal distributions", "marginalizing mvn distributions", "which model is used for marginalization", "how to find marginal distribution", "which condition is marginalizing over a posterior distribution?", "what is the marginal distribution", "marginalization of a distribution", "what is marginalization of mvn distribution examples", "how to find out the marginal distribution of a multivariate distribution", "what is the marginal distribution", "how to find marginal distributions", "how to find marginal distribution", "what is a marginal distribution in statistics", "marginalization is a multivariate distribution", "marginalization of a distribution", "what is mean marginal distribution", "marginalized distribution", "marginal distribution" ]

[ "how to solve a nearly linear model in r", "how to formulate linear models in r", "function of r to find a model", "which function does a r model use to fit an example to the x?", "how to model a nearly linear equation r", "how to fit a model in r with a linear formula x y z", "what model do linear algebra use", "what is the formula of r in linear models", "how to formulate a nearly linear model", "what are r function", "how to fit a linear model in r", "what is the r function for model", "how to fit a linear model", "how to fit a nearly linear model", "function r", "how do I make a model with r", "what is the function function of a nearly linear model", "how to form a linear model in R", "how to make a nearly linear model", "how do you formulate an algebraic model in r" ]

[ "is sprot and bayesian updating the same thing", "does the bayesian updating approach support multiple variables", "how can sprt and rometa solve sequential testing?", "what is the difference between sequential testing and bayesian updating", "what type of test should be conducted for a multiple test", "what is the difference between a sequential testing method and a bayesian update method", "what is the difference between sprot and bayesian updating?", "why use sequential testing with sprt", "what is the correct way to test for an alpha", "why does bayesian updating have alp i error", "can you test an hypothesis per timepoint?", "when should a group sequential approach be used", "why is it difficult to test multiple variables sequentially", "which method is used to test the alpha error rate of a variable?", "what is the problem with the sequential testing of multiple variables in multiple study sets", "which type of testing is best for multiple hypothesis testing", "which of the following approaches best fits the alpha i error rate in multiple hypothesis testing?", "if multiple hypothesis is tested can sprot be used", "what is the difference between the group sequential approach and the bayesian update", "why do sequential tests require binomial variables" ]

[ "what is the difference between interaction and independent variable in logit regression", "which variables are included in logit regression?", "why are interaction variables in regression?", "which interaction variable becomes insignificant", "what is the difference between interaction and insignificant mean variable", "why is the interaction variable of the logit regression insignificant", "what is the difference between an interaction variable and a statistic", "why is axb considered insignificant?", "which interaction variable becomes insignificant when a logistic regression is included", "logistic regression which interaction variable is considered insignificant", "what variables are included in logit regression", "why are interaction variables used in logit regression", "how to predict interaction variables logit", "which variable become insignificant when using stepwise forward regression?", "when are interaction variables used in logit regression", "what is tr mean of interaction variable", "what is the significance of interaction variables in a logit regression", "when a logistic regression is used, all initial significant variables become insignificant", "when a interaction variable is included in logit regression", "why is xb insignificant" ]

[ "what is the measure variance for a multivariate gaussian", "how to find measure of variance for ganessian", "when the variance is small what does a stopping criteria in a regression analysis include", "which of the following measures the overall variance of the underlying multivariate gaussian", "how to find the variance in multivariate gaussian", "how to find overall variance", "what is the measure of variance", "what measures overall variance", "what is the measure of variance if it is multivariate?", "what is variance in regression analysis", "how to find the measure of variance in a gaussian", "what is the measure of variance for multivariate gaussian regression", "average range of variance in multivariate gaussian", "when evaluating variance in gaussian model", "when to use variance as a measure", "why do we need a measure of variance in multivariate gaussian", "what measures variability of multivariate multivariate gaussian", "what is the measure of variance in gaussian", "how to measure variance of multivariate gaussian regression", "gaussian definition of variance" ]

[ "how to find an x intercept", "what is r autocorrelations", "r how to find x intercept", "r how to find x intercept for a function r function", "r is finding the x intercept from a set of values", "which function returns an x intercept?", "what is x intercept in r", "what is the x intercept value in r functions", "what is the r x intercept", "can r find the x intercept", "how to find x intercept in r", "what is the coefficient of x intercept in R", "r find x intercept", "how to find x intercept from a set of values", "what does r return when a function crosses the x axis", "what is the r intercept function", "what is the acf of the function", "how to find interquartile correlation", "__________ acf returns a function x intercept", "what is the r value for an acf" ]

[ "how to find lognormal density", "how to find lognormal density", "sympy calculate lognormal density", "sympy how to do lognormal density", "average lognormal density in sqrt", "what is the lognormal density", "what is the lognormal density", "how to find log normal density", "how to determine lognormal density from normal density", "convert lognormal density from normal density", "what is the lognormal density", "what is the symbol for normal density", "how to get log normal density with sympy", "how do you calculate lognormal density based on normal density", "what sympy function converts the normal density to a lognormal", "calculate log normal density", "lognormal density formula", "average density of sigma", "how to calculate the density from normal density", "how to calculate lognormal density" ]

[ "what is poisson distribution?", "what type of randomness is poisson? what kind of randomness is poisson", "what is poisson distributed", "what is poisson? in math", "what is poisson?", "is poisson distributed a constant", "how do you find poisson", "which is true about poisson in computers?", "how do you estimate a poisson", "what kind of time does poisson take", "what is poisson?", "what is poisson distributed", "what is poisson distribution", "what is poisson distribution", "what is poisson in computing", "what is poisson distributed", "which randomness is a function of poisson", "why is lambda poisson distributed", "how to estimate poisson distributed", "what is poisson" ]

[ "why use binary classifier for training", "when a classifier is used for training what happens", "why would binary classifier be used", "when a classifier is used to test a tag", "what is the java classifier based on training and training data", "why use binary classifier", "which type of classifier is an imposter", "what classifier for training data", "binary classifier definition", "what is binary classifier", "what is the binary classifier", "what is the classifier of binary", "why binary classifier", "what is binary classification", "can you use binary classifier on one label", "what is binary classifier used for", "can you make a binary classifier", "which data does a binary classifier use", "what is a binary classifier", "what is a binary classification classifier" ]

[ "how to weight observations in a standard error model", "how to do weighting of observations", "what is the standard standard error for weighting", "weighted averages of standard errors", "what weight do you give an observation of standard error", "weighted averages for standard error of data", "weighted observation with standard error", "when standard error is zero, what is the weight", "weight of standard error in statistics", "what is the weighting of standard errors of the observations", "weight of standard error in an experiment", "what is a standard error weight", "weighted standard error vs standard error", "what is the standard error in weights", "weighted standard error xse", "weighting for standard error on model", "weighted data", "how to correctly weigh observations with standard error", "weighted observations", "weighting model standard error" ]

[ "how to cluster users on facebook with k memeoids", "how do we cluster facebook users?", "how can i cluster facebook users", "what is clustering approach for facebook", "what is the approach used to cluster facebook users", "what is the best approach to clustering", "why is facebook clustering algorithm used", "why cluster facebook", "how to cluster users in r", "facebook user cluster algorithm", "if two users have more friends then they are clustered", "what is the approach to cluster on facebook", "what is clustering method for facebook", "how to cluster ___friend on facebook", "what is the algorithm for clustering facebook users for different purposes?", "how do you cluster someone", "if 2 facebook users have more number of friends are they closer in relation to one another", "what is clustering", "how to cluster facebook users in relation to each other", "how to cluster a facebook page" ]

[ "weighted multiple linear regression", "weighted multiple linear regression", "weighted multiple linear regression", "weighted multiple linear regression", "weighted multiple linear regression", "what weighting is used for a weighted multiple linear regression", "what is multiple linear regression with weighted variables", "if you need to weight an observation how to do this", "weighted multiple linear regression how to do", "how weighting regression works", "why do you use weighted multiple linear regression", "weighted multiple linear regression", "how to do a weighted multiple linear regression", "weighted regression", "weighted weighted multiple linear regression", "do linear regressions use weighted multiple regression", "when do you use weighted regression", "weighted multiple linear regression", "a weighted multiple linear regression is called", "weighted multiple regression" ]

[ "are composite variables independent variables", "what is the coefficient standard error of the composite variable a in a linear regression", "are dummy variables independent variables", "when to use composite variable", "what would be a composite dependent variable in a linear regression?", "why is dummy variable the dependent variable for a linear regression", "what is the independent coefficient of a linear regression?", "which dummy variable is used in a dummy regression", "why would you expect to get same composite variable if you run multiple regressions", "what are composite variables in regression", "what type of dependent variable is a dummy variable", "what is composite dependent variable", "what's the composite variable a in linear regression", "do dummy variables have to be independent variable", "which dependent variable does a regression use to estimate the composite of all regression units?", "why are composite components used in regression", "what is the composite dependent variable a", "which independent variable is a composite variable", "why do dummy variables differ from independent variables?", "what is a composite dependent variable in regression" ]

[ "what temporal resolution for time series", "how to use the difference of mean in time series", "do concentrations in ponds", "how do you calculate t-value for an annual pond concentration?", "when are do levels reported", "how do you determine the difference between a monthly and an actual pond concentration", "how do you compare do to annual average", "difference of means tests", "what time series would you use the t test to find the difference", "average of the pond monthly", "do in ponds is measured by", "why is the temporal resolution of the t-test important", "average of daily and monthly do levels for pond", "how to calculate difference of means", "what temporal resolution for time series significance test", "why do we use the decadal measure as the mean of the annual mean", "does the daily average of a pond vary", "how to compare do levels", "what does an annual mean test for do mean", "how does difference of mean testing work" ]

[ "why use loglik", "what is loglik in r", "r fit logistic", "what is fitdistr loglik", "how to find log likelihood from standardized data?", "why use an r loglik", "r what is fitdistr loglik dft", "why do you use loglik function in logistic regression?", "how to afit loglik function in r", "what r function is fitdistr", "r loglik standardized", "what is the purpose of the loglik function", "what is the loglik in r", "what is the loglik in r", "what is the loglik function", "r standardized loglik", "r functions for fitting standardized data", "what is the log likelihood of the standardized data", "how can i compare loglik and standardised data in r", "which function is a loglik function in r" ]

[ "which one is better unconstrained or constrained?", "which is the difference between the unconstrained and the constrained formulations?", "which is better unconstrained or constrained", "what is the difference between a constrained and an unconstrained svm", "which is better unconstrained or constrained", "what is svm unconstrained formulation", "what is the difference between a constrained svm and an unconstrained svm?", "whats the difference between constrain and unconstrained optimization", "what is svm unconstrained", "how can you solve an unconstrained optimization problem", "unconstrained vs. constrained", "what is the difference between the unconstrained and constrained svm?", "what is the difference between limited and unconstrained svm", "what is the difference between a constrained and an unconstrained svm", "what is a constrained and an unconstrained algorithm", "what is the difference between a constrained optimization problem and an unconstrained one?", "svm constrained / unconstrained formula", "what is an unconstrained vs. constrained svm", "what is svm constrained and unconstrained", "what is the difference between the unconstrained and the constrained optimisations?" ]

[ "what is the probability of a website being down", "how to calculate probability of an outage", "which statistic is used to determine the probability of a user hitting the computer system when it is unavailable?", "probability of downtime", "how to calculate probability of a downtime", "probability of hitting the system", "probability of system downtime", "how to calculate probability of hitting system in an emergency", "probability of an event occurring", "what is the chance of something going down", "how to calculate the probability of system downtime", "what is probability of a system down", "how to calculate system uptime", "how to calculate probability of an outage", "how to calculate probability of an outage", "average % of system downtime in seconds per year", "what is the probability of an outage", "average system time spent", "when p of a site is down how does it occur", "when system down is probability" ]

[ "how to organize data with several levels of a categorical variable for easy r analysis", "how to organize r data into categorical variable", "how to organize data in order to analyze categorical variables", "r categorical variable example", "r coding what to do if a variable has multiple levels", "what is the r example of categorical variable", "how to organize data in r", "r create categories excel", "what are categorical variables examples", "why would a category need multiple levels", "how to organize a category into several levels", "how to organize data in r", "what is the r format for categorical variable b", "which data structure is an example of categorical variable data", "what is the difference between a categorical variable and an entry", "how to organize data", "how to organize data", "r categorical variable excel", "how to organize data in r using categorical variables", "how many levels are in a categorical r entry" ]

[ "which type of data has a right skewed distribution?", "which of the following is a model choice for nonnegative continuous non integer data?", "what is the model choice", "what is the model choice for an integer", "which model is used to model nonnegative continuous continuous non-integer data?", "which model choice best describes right skewed distribution", "what is a nonnegative continuous variable that has a right skewed distribution", "how to model for non negative continuous variables", "what is the model choice for a right skewed outcome?", "what is model choice for right-skewed data", "which model has a negative right skewed distribution?", "which is a positive model of right skewed data", "what model choices to use for a right skewed distribution", "which variable has a right-skewed distribution with no counts?", "what is nonnegative continuous continuous variables", "what type of data is a nonnegative continuous variable", "which model choice would be appropriate for a set of nonnegative continuous non-integer data, which has a distribution of a value of zero", "why are zeros and positive data points right skewed", "what is right skewed distribution in statistics", "why is a right skewed data set useful for determining model choice?" ]

[ "what measures straightness", "how to plot the smoothness of a linear line", "how to measure straightness", "what is the smoothness of the spine", "what is the smoothness of a straight line", "what is smoothness", "what is smoothness in a line", "what measures smoothness and width", "which term is acceptable", "what is smoothness", "what is the axis of a smooth spine", "what measurement measures smoothness", "what measures smoothness of lines", "how to measure smoothness of the spine", "how to measure smoothness", "what measure straightness", "why can't i plot smoothness on a still", "how to measure straightness of your spine", "how to measure smoothness lines for sports", "what is smoothness of lines" ]

[ "which of the following is a function used to describe the interecepts in jags/stan?", "what is the name of the function of glm_fit in stan", "how to model varying intercept in stan", "what is the difference between varying intercept and varying slope of a jag", "how to model interecept in jags/stan", "what is varying interecepts in the jags model", "what is the model for varying intercepts in stan", "how to model the variation of the interecept for each condition in a stan", "how to construct varying interecept in stan", "how to use varying intercept in jags", "how do i use a jags model", "what is the function of a probit link", "how do you make a linear model in stan", "what is the jags model", "what is the function of logit?", "what is the varying intercept in stan", "how to model the interval of varying intercepts", "how to model the interecepts between subjects in stan", "how do i use a varying interecept and slope model?", "what is the function of varying intercept in the jags test?" ]