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cqadupstack-stats-top-20-gen-queries

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[ "how are expected profits calculated", "what is the expected profit from a drug company?", "what is the expected profit", "what is the expected profit for the drug company", "how much do drugs companies make", "how can you calculate expected profits on drugs", "what is the expected profit of a drug company in a clinical trial?", "how are expected profits calculated", "how much do pharmaceutical companies get paid", "what percentage is the company expected profit from?", "how do you calculate expected profit", "how much profit will a drug company make if it rejects both its products?", "how much profit does drug company make?", "how is expected profit calculated", "how much profit does a drug company make from the clinical study of its drugs?", "what is the expected profit on a drug test", "how much profit does a drug company make by accepting an applicant? quizlet", "how to calculate expected profits with probability", "how much money does a pharmaceutical company make", "what is the expected profits from a drug company" ]

[ "how to claim p value significance of predictors glmnet", "can i report the beta coefficients of two predictors with a linear regression", "how to report the p value of a predictor", "how to claim p value of a predictor in logistic regression", "how to report the p value of a logistic regression model", "how does glmnet report significance", "can you calculate the p value of a predictor", "how to report p value significance with linear regression", "which p value of glmnet means that the coefficients are statistically significant", "how to report p value significance", "what is the p value of an a l", "when using glmnet how can i report the p value significance of my predictors", "how to report p value significance", "does glmnet get the p value", "when reporting p value significance", "how to show p value of predictors", "how to calculate p value for glmnet predictors", "can you calculate alpha of a model using glmnet", "how to report p value of glmnet predictors", "how do you get the beta coefficient in glmnet" ]

[ "what is gam tensor product interaction", "what is a tensor product?", "what is the tensor product in am", "what is a tensor product", "what is the gam tensor product?", "what is the tensor product interaction of r", "what is gam tensor product interface", "what is the r package for tensor product smooths", "what is a tensor product", "what is mggcv", "what is tensor product interaction", "what is a tensor product in r", "where does mcvc interact with in gam", "what is the tensor product in r", "what is the tensor product interaction in r", "what is gam", "what is tensor product interactions", "which r package is used to find functions of a tensor product", "what is mgcv in ram", "how to interpret tensor product interaction" ]

[ "why is nntool not performing as well as ridge function", "why neural network is performing a lot worse than ridge?", "why does ridge regression work better than nntool", "does nnworks work as well as ridge functions", "what is the difference between a linear activation function and a neural network", "why does nn nn perform bad", "what is the difference between ridge and nn", "what is nntool used for", "why does ridge function work better than neural network", "why is nntool not performing as well as ridge regression", "what are the differences between ridge and nntool", "why is ridge and nntool different", "is ridge function better than neural network", "why is nntool worse than ridge", "does nn work if there is a positive target in a neural network", "why is nntool different from ridge model", "why is nntool not performing as well as ridge", "why does nn perform worse than ridge", "what's the difference between ridge and neural network", "why the difference between ridge and nntool" ]

[ "how to visualize a variable that is ordered by its frequency", "how to visualize frequency distribution", "why graph x axis of frequency", "what is the plot of each low frequency item", "why are frequency intervals important for predicting behavior", "how to plot a single data item", "how to visualize low frequency information", "what is the y axis of q in a plot", "how to visualize a binary outcome", "which graph is the best for a frequency distribution?", "what is a graph that shows the frequency of an item", "how many frequencies are in a q-scale", "why do we use a y-axis in a sensitivity plot", "how do you visualize a single variable", "how to visualize frequency", "how to visualize data on x-axis", "how do you visualise a single q", "how to visualize low frequency items", "how to visualize the frequency of the data", "what is the x axis of a q" ]

[ "what is meant by regression factor score", "if a factor score is positive is mean reversed", "why does a factor score reverse", "what is a cross tabulation of the mean factor score?", "how to tell if factor score is positive", "why are all expected signs reversed?", "why is the expected sign reversed", "why is meant by negative mean factor score?", "how do you cross tabulate factors for regression", "which factor has the highest mean score if the factor score is negative", "why the sign of the factor score is reversed", "why are all expected signs reversed", "why are all expected signs reversed", "why are all expected signs reversed", "what is the mean of a factor score in regression", "why are all expected signs reversed", "why is the result of interpreting the factor score in spss reversed?", "why is the sign of a factor score reversed", "why are all expected sign reversed?", "why are all expected signs reversed" ]

[ "which of the following will be used to reparametrize the posterior distribution", "how to write unnormalized posterior distribution of time", "reparametrize posterior distribution how can i write the unnormalized posterior distribution", "how to write a posterior distribution", "what is log odds-ratio", "what is the normalized posterior distribution", "how to write a posterior distribution", "how to write a posterior distribution", "reparametrize posterior distribution", "how to write posterior distributions", "how do you write an unnormalized posterior distribution", "how to write an unnormalized posterior distribution", "renormalized posterior distribution", "how to write unnormalized posterior distribution", "which of the following terms is a parameterized posterior distribution?", "what is the log odds ratio in log statistics", "calculate posterior distribution", "unnormalized posterior distribution", "how to write an unnormalized posterior distribution", "what is the log odds ratio" ]

[ "why isn't ridge regression useful", "which optimisation process is a good fit for the yield curve?", "how does ridge regression work", "what is ridge regression", "what is ridge regression physics", "what is the ridge regression used for", "which regression method best fits the data for best fit", "how to regress an interest rate curve", "ridge regression definition", "when do you use the ridge regression", "best fit for ridge regression", "why is it important to use ridge regression in optimisation", "what is ridge regression for", "what is ridge regression analysis in statistics", "how to regress a ridge regression", "why is the ridge regression best", "why does ridge regression work", "what is ridge regression", "what is the best way to regress data?", "when to use ridge regression" ]

[ "conditional expectation conditional conditional conditional on exponential random variable", "conditional expectation conditional on exponential random variable", "conditional expectation conditional on exponential random variable", "conditional expectation conditional on exponential random variable", "conditional expectation conditional on exponential random variable", "conditional expectation conditional expectation conditional conditional conditional conditional conditional", "conditional expectation on exponential random variable", "conditional expectation conditional", "conditional expectation", "conditional expectation conditional conditional on exponential random variable", "which conditional expectation is conditional on a random variable", "conditional expectation conditional on exponential random variable", "conditional expectation conditional on exponential random variable", "conditional expectation conditional on an exponential random variable", "conditional expectation conditional on exponential random variable", "conditional expectation conditional", "conditional expectation conditional on exponential variable", "conditional expectation conditional on exponential random variable", "conditional expectation conditional conditional on exponential random variable", "conditional expectation conditional exponential random variable" ]

[ "can you use a spline in semi-parametric regression", "which splines are used for semi-parametric regression?", "what is the purpose of the vcv", "is the vcv used to determine reliability", "how to do a confidence interval", "what kind of function is used to calculate the confidence interval?", "what is an spline confidence interval", "what is a penalty matrix in semiparametrics", "what is the confidence interval of semi parametric regression", "when do you use penalty terms with nonparametric spline confidence intervals?", "what to do for a confidence interval with semiparametric regression", "what is the definition of a penalized spline", "what is a spline confidence interval", "how to figure se intervals for semi-parametric regression", "how to calculate confidence intervals in semi-parametric regression", "what is penalized confidence interval", "what is the definition of the confidence intervals", "what is a ci in semiparametric regression", "what are splines for semiparametric regression", "can i use the spline in semi parametric regression" ]

[ "what is the importance of separating sample", "is a subgroup in a regression", "does splitting the sample reduce p value", "is there a subgroup in logistic regression?", "why is splitting a sample necessary", "why is the ols analysis useful when using multiple mediators", "do subgroup differences in a regression show up in the sample?", "why is it important to split up regression", "can a sample size be split down to exclude subgroup differences", "what would cause a sample to split", "why do i split the sample", "why do we split sample when we want to study subgroup differences", "what is the importance of combining variables in a regression", "how do you find subgroup differences", "can you split the test based on subgroup differences", "which sample is splitting?", "how do subgroup differences affect subgroups", "do subgroup differences need to be considered", "what is the subgroup differences", "are the mediators associated with subgroup differences in regression" ]

[ "how to find confidence intervals in a glm", "how do you obtain the confidence interval for an ld50?", "how to obtain confidence interval in ggm", "what is the confidence interval for a positive ld50", "how to find confidence intervals in reverse prediction", "how do you obtain the confidence intervals for a binomial distribution", "what is the ld50", "how to use glm data", "what is the confidence interval between the ld50 range and ld50", "inverse prediction with a binomial distribution", "ld50 confidence interval", "how to get confidence interval for dl50 in glm", "glm with a logit link", "how to calculate confidence intervals from logit link", "what is a logistic logit link for a bacterial dose response curve?", "how to use a binomial distribution glm", "how to obtain confidence intervals for glm", "which is the best way to obtain confidence intervals?", "how to obtain confidence intervals from logistic logistic models", "what is the confidence interval in a glm" ]

[ "convergence of k -means", "which algorithms have convergence proofs", "convergence of k means", "what is the convergence of k means algorithm", "what is the convergence of k methods", "does clustering algorithm work", "what is the k-means algorithm", "convergence of k-means", "what is the convergence", "what is the convergence of k mean", "what is k mean in clustering", "what is convergence of k mean", "what is the algorithm for clustering", "why does clustering algorithms need convergence proofs", "why is clustering iterative", "what is convergence of k-means in a clustering algorithm?", "what is convergence of k-means algorithm", "convergence k mean", "what is k-means", "what is convergence of the k-means" ]

[ "how many extrasolar planets are there?", "how many planets are visible in the solar system", "how many extrasolar planets exist", "what is the total number of planets within light years", "how many planets are orbiting the extrasolar surface?", "how many extrasolar planets are there", "where are the habitable planets", "wikipedia planetary orbits", "how many inhabited planets are found within the circumference of the earth", "how many living extrasolar planets are there", "how far away are planets from earth", "how many extrasolar planets in the universe", "how many planets are habitable in the sun", "where are planets found in space", "how many extrasolar planets are there?", "how many planets are there", "how many habitable planets exist", "what is the maximum size of a planet in light years?", "where is the habitable planet", "how many extrasolar planets are there?" ]

[ "how to figure out probability distribution on a string", "how to figure average distribution of numbers in string math", "how to find normal distribution", "how to calculate npd in math", "how to find the average distribution of a string", "what is np$ in math", "what is the smallest bit of the string to calculate a normal distribution?", "average number of 1's in a string", "how to determine normal distribution", "what is the problem with normal distribution", "normal distribution math", "what is the normal distribution and how do I solve it?", "when do you find probability on normal distribution", "average number of a bit in a string", "how to calculate a normal distribution", "how to find normal distribution in math", "normal distribution in excel definition", "what is normal distribution", "how do you find normal distribution", "which distribution has a normal value" ]

[ "how many independent observations in spss", "how many observations does spss collect", "how many independent observations on spss data", "how many independent spss observations for a period", "what variables make up a latent variable", "what is the difference between a independent variable and a dependent variable in pylori", "how many independent variables are in spss", "how many independent variables are in spss", "how many observations in spss", "how many independent spss observations for the year", "dsi how many independent observations", "how many independent variable are in spss", "how many independent variables are there in a spss panel", "how many independent observations in spss?", "how to enter a country into spss", "how do you use spss to enter data", "how many independent observations in a data set?", "do you use independent or latent variables", "how many observations are in each country's data", "how many independent observations are in spss" ]

[ "which density function has ellipsoidal symmetry", "what is the density function with ellipsoidal symmetry", "which probability function has an ellipsoidal symmetry", "why do hidden states have ellipsoid symmetry?", "what is the difference between a density function and ellipsoid symmetry", "which symmetry is based on a density function?", "which of the following is an example of an ellipsoidal function", "why is density function ellipsoidal", "why do we use an ellipsoidal density function", "how are density functions assumed to have an ellipsoid symmetry", "which probability density function must be ellipsoid in an experiment with a hidden markov model", "what are multivariate density functions with ellipsoidal symmetry", "what is the density function of ellipsoidal symmetry", "which function is a multivariate probability density function", "is density ellipsoidal", "what is density function in a markov model", "why are density and distribution functions assumed to have an ellipsoid symmetry?", "does density function have ellipsoid", "which density functions have an ellipsoid symmetry", "what type of symmetry is used for density functions" ]

[ "how is x calculated in r", "what is the x r model", "what is the r cox model used for", "what is the cox model of x", "how to use an extended cox model with a time dependent covariate", "what is the value for x in an extended cox model", "what is the status of the r cox model", "what is the r hazard ratio", "what is the cox model?", "what does the number of doses in x stand for", "how to structure a time dependent cox model", "x value meaning", "which of the following is a positive integer?", "what is the condition x mean", "what is the data model used to generate a statistic for each observation time", "what is the cox model of the patient", "how to structure r data?", "what is the data structure for an extended cox model", "cox model for time dependent models", "what is the length of the extended cox model" ]

[ "if $x_1, x_2$ is dependent jointly normative, how to compute this?", "what is the dependence of conditional pdf", "how do you compute dependent rv", "how can i calculate the dependent rvs of $x_1", "r_1 is dependent rv", "r_1 is iid normal", "if $z_1,y_2,z_2$ is normal, what is the dependent rvs", "what is the dependent rv of m$r", "what is iid jointly normal value", "how can i compute $f(r_1|x_1)$ in relation to a dependent rv", "what is the value of $f(r_1|x_1) and $f(r_2|x_2) from $f(r_1|x_1|x_2]$", "if $y_1, x_2$ are independent rvs", "what is the dependent rv of $x1", "how to calculate dependent and dependent variables in c++", "calculating r_1, r_2, r_1", "are the dependents of rv always normal", "calculating the dependent variable rv", "if r_1 is dependent normal how can i compute", "which condition is iid", "how to compute $f(r_1,r_2)$ from $f(r_2|x_2)$ and $f(r_2|x_2)$ in conditional pdfs" ]

[ "what is the difference between two means of a class", "a hypothesis test definition", "can a classifier classify two groups", "can a classifier classify two groups of data", "can i classify mean differences in groups?", "can you classify two groups together", "what is the test used to classify data for each of the a groups?", "how much confidence do you need in using a classifier", "can you classify two groups with a confidence test", "when two groups of values differ", "what is the confidence rate of a prediction if the mean of the two groups is significant?", "can you classify data with confidence levels", "when are two groups significantly different", "what is the difference between the means of two means", "can you classify a significant change in the mean of two groups", "when two mean differences are significant, can you classify as a or b", "can you classify the differences between two samples with confidence?", "what is a difference between two means", "what is the confidence level for a hypothesis test", "why does the average of a mean differ" ]

[ "what is a kmeans plot", "how to test clusters in r", "how can a r cluster be tagged for a curve", "how to determine which cluster id for a r curve?", "what is the id of each vector in kmeans", "what is the constant id value for each cluster?", "why is each cluster id of a vector different each week?", "how to find cluster members in kmeans", "how to show which cluster has changed", "how do you find the id for a vector", "what's the cluster name used to identify a vector", "why are the ids for each cluster in kmeans constant?", "what cluster is soccer", "how to determine which cluster belongs to which vector", "how to check cluster id in kmeans", "why do clusters change dilatants?", "r what cluster ids soccer", "how do i check the tags for a vector in r", "when a vector is randomly identified by a kmeans cluster, the cluster is", "how many weeks to assign k value to a cluster in r" ]

[ "which algorithm should be tested against", "can collaborative filtering algorithm be used to determine the filter algorithm", "which algorithm is the most relevant to collaborative filtering?", "what is the most useful filter algorithm", "how to test collaborative filtering algorithms", "what is the algorithm for collaboration filtering", "what is the most relevant algorithm", "most useful algorithm for collaborative filtering", "what is the most relevant algorithm that can be tested against?", "what is the most appropriate algorithm for collaborative filtering", "what algorithm should i test against", "what is the most relevant algorithm", "what kind of algorithm is used to test a filter", "what is the most useful algorithm for collaborative filtering", "what is the algorithm for collaborative filtering?", "which algorithm is used best for collaborative filtering?", "what is the most relevant algorithm for collaborative filtering", "which algorithm to use to compare with others for collaborative filtering", "what algorithm can be used for cooperative filtering", "what is the most relevant algorithm for collaborative filtering" ]

[ "what is the limiting distribution of W_n$", "which limiting distribution is found in sqrt", "where does limiting distribution occur?", "find the limiting distribution of $w_n$?", "limiting distribution example", "what is the limiting distribution of sqrt", "find the limiting distribution of w_n$", "how to find the limiting distribution", "what is the limiting distribution of $w_n$", "where is limiting distribution in sqrt", "how to find the limiting distribution for random variable n", "how to find a limiting distribution", "how to find the limiting distribution of $w_n$", "find the limiting distribution of $w_n$", "limiting distribution", "how to find the limiting distribution of sqrt", "what is the distribution limiting", "which random variable has a limiting distribution", "limiting distribution of variable", "where is the limiting distribution of" ]

[ "how is the inference derivation of an equation", "what is kalman filters used for", "how is inference deducted", "how to do kalman filter deductive analysis", "what type of derivation is the kalman filter used in", "what is the derivation of the kalman filter used for", "how does kalman filter work in machine learning", "kalman filters inference definition", "how is inference derived", "how are kalman filters used", "how is inference derived in kalman filter", "how the kalman filter is used in inference in a linear dynamic system", "how can kalman filters be used in a dynamic system", "how is kalman filters derived", "how are the kalman filters derived", "how is kalman filtered inference derived?", "who explains kalman filters", "how is kalman filter derived", "how is kalman filter derived", "what is the kalman filter" ]

[ "boosted regression tree models", "ipred boosted prediction error", "which regression tree model is bootstrapped?", "what is the boosted regression tree gbm", "ipred bootstrap prediction error", "boosted regression function", "what is errorest for regression in ipred", "bootstrapper regression tree", "how to obtain bootstrapped prediction error in r", "boosted regression tree function", "boosted regression model", "function to investigate bootstrapped prediction error r", "boosted boosted regression tree if bootstrapped prediction error", "boosted regression test", "what does the boosted regression tree model use", "boosted regression tree model", "what is errorest in r", "ipred function to test bootstrap prediction error", "boosted regression tree model example", "boosted regression test example" ]

[ "what is the optimal constraint for optimisation", "how to select optimal constraints", "what is the best way to set constraints for optimisation", "why are the constraints chosen for optimisation", "how to decide which constraints do you place on a model", "why use constraints in optimisation", "what is ccd and what constraint do you have", "what constraint is used in optical optimisation", "how to select optimal constraints", "can you use a ccd in optimisation", "which constraints are appropriate in an optimisation scenario?", "which constraint is optimal", "when constrainting is used", "how do i set constraints", "what is optimal constraints on optimisation", "which condition is optimal when potential constraints are correlated?", "what is the best condition for constraint", "constraint curve in ccd", "what is the optimal constraint in an optimisation curve", "what constraints should be used in optimisation" ]

[ "what is minimum sample size for uniform distribution", "which sample size is minimum for determining uniform distribution?", "how to determine sample size for uniformly distributed data", "how to measure sample size in a distributed sample", "what is sample size", "determining sample size for uniform distribution", "what is the minimum sample size on a uniform distribution", "what is the minimum sample size for uniform distribution", "how to determine sample size for random sampling", "what is the minimum sample size for uniform distribution?", "how is sample sized for distribution", "what is sample size for uniform distribution", "what is the minimum sample size for a uniform sample", "what is the minimum sample size for uniform distributed sampling? cisco", "what is the sample size for uniform distribution", "what is minimum sample size", "what is the sampling sample size for uniform distribution?", "when should a uniform distribution sample size be determined?", "which is the smallest sample size for a uniform distribution?", "what is the minimum sample size for uniform distribution" ]

[ "how to use rugarch in r", "what is the shape value for rugarch", "rugarch sstdexkurt function", "what does rugarch forecast return", "rugarch sstdexkurt", "what does rugarch expect in r", "what is rugarch", "what is sstdexkurt in rugarch", "what is rugarch", "what shapes does rugarch forecast use", "what is the r function for rugarch", "how many shape estimates can rugarch forecast", "rugarch sstdexkurt", "how to forecast shape in rugarch", "rugarch function is used where sstd", "a prediction function of rugarch returns the skew-student distribution of _____.", "what r function returns illegal shape estimates", "rugarch forecast function", "what r function is expected to return ip shape", "what is the name of the forecast function in rugarch" ]

[ "why is the hypergeometric test used to test the importance of genes?", "if a gene is a differentially regulated gene, how many genes are there in common?", "how do i compare affymetrix and affymetrix phyper", "how many genes overlap in a hypergeometric test", "if a gene overlaps with a phyper which one to use", "what is the significance of the genes in the affymetrix mouse array in hypergeometric test", "how many genes are in common in a hypergeometric test?", "how do i determine significance of a gene overlap", "how many genes on a hypergeometric", "how many genes overlap affymetrix", "how many differentially regulated genes are in common? quizlet", "which data set do you use to find the significance of a hypergeometric test", "what number of genes are in a mouse cell?", "if a gene is matched to a gene, how can i measure the significance?", "how does the significance of genes be calculated?", "which is a hypergeometric test", "how many genes in an antigen", "how to find the significance of a gene overlap in affymetrix phyper", "what is significance for hypergeometric test", "which test uses phyper" ]

[ "which method of regression uses lasso", "is lasso aic automated", "why is lasso regression better than stepwise aic", "why is lasso better than stepwise aic?", "which is better lasso or aic", "why is lasaso regression better than stepwise aic", "why is lasao better than an aic", "why use lasso regression", "what is lasso regression", "why is lasso regression better than stepwise aic?", "what is lasao and aci", "what is lasso regression", "why is lasso better than aic", "why is lasso used for variable selection", "why lasso is better than stepwise aic", "is lasao regression a stepwise aic", "why is lasso regression better than stepwise", "why is lasso best", "is lasata regression better than stepwise aic", "what is the difference between lasso and stepwise aic?" ]

[ "can r perform lasso regularization for gamma", "what is lasso regularization", "why do i need a glm with a continuous nonnegative response", "can a gamma distributed model be used for a glm", "what is lasso in r?", "what is r's lasso regularization", "do i need glm with gamma", "gamma distribution r", "how to do a glm for a non-negative response", "why use cox model?", "what is the glm distribution", "what is cox model", "what is an r lasso", "which model does the glm with glm distribution work", "lasso regularization r", "glm gamma distribution", "what is lasso regularization", "what is lasso regularization in statistics", "glm definition with gamma distributed response", "what type of data is gg with gamma" ]

[ "how can a hr class based on a patient's age be classified", "is an age a determinant of blood pressure", "how to determine if the patient is healthy", "age a determinant of risk", "age of a patient is a determinant of what", "how to classify patients with genetic heart disease", "how would a disease affect blood pressure", "how does age affect blood pressure", "age and risk factor for genetic disorder", "does age affect bp", "how does age influence bp", "does the age of a group affect the hr and blood pressure", "age influence the risk of genetic heart disease", "does age influence bp", "what is mahalanobis based classification", "can an age be used to classify a patient for a disease", "what is the mahalanobis distance", "can mahalanobis be used to classify a patient", "how is age a determinant of risk", "when using mahalanobis distance of a patient" ]

[ "r epsilon recovery definition", "what's the recovery terms", "what is the recovery of error terms epsilon", "how to recover a numerical error", "what is the sample size in ma", "what is error propagation", "r recovery terms", "how to compute r error terms", "what is the problem in r with numerical error propagation", "what is the recovery process", "how to recover the error terms in r", "how to recover error terms in a r process", "what is the recovery of errors", "r y_t is used for what", "what is the recovery process for r", "epsilon2 definition", "what is the sampling size of the ma(1) process", "where does numerical error propagate in r", "how to recover an error in a math model", "reversing numerical error" ]

[ "how to estimate density with a gaussian mixture model?", "gaussian mixing model density", "np.log function", "which statement describes the estimation of the density of a gaussian mixture model", "what is the function for ga in np", "what is density estimation", "gaussian density function", "gaussian mixture model density", "what is the function for the density function", "gaussian mixture model density estimation", "how to compute density in gaussian mixed model", "np sample density estimation", "gaussian mixture model density estimation", "gaussian mixture model density", "gaussian mixture density function", "what does the np.log stand for", "weight estimation gaussian mixture model", "what is a clf", "what is density function", "gaussian mixture model density estimation" ]

[ "what kind of algorithm is used for optimization", "how to optimize an algorithm for a problem", "can you optimise a problem using Monte Carlo", "how to implement Monte Carlo algorithm", "which method does the travelling salesman algorithm use", "what algorithm is implemented in np hard implementation?", "what is the Monte Carlo method used to optimize a hard algorithm", "what is monte carlo method used for", "how to optimise a hard implementation", "what is the best implementation for an np hard algorithm", "when using monte carlo method how hard is the implementation", "how to implement a hard algorithm", "what is np hard implementation", "which algorithm is best for an np hard implementation", "what is monte carlo methods implementation", "np hard implementation optimisation", "how to optimisation a real estate algorithm", "what type of problems can be optimised using np hard implementation", "how to implement monte carlo", "how to optimise an algorithm" ]

[ "how to do a temporal correlation", "how do i do temporal correlations of matrices", "what is temporal correlation", "how to do temporal correlations in math", "how does one do temporal correlation?", "how do we do temporal correlations", "how to do temporal correlation", "how to do temporal correlation", "how do i do a temporal correlation in a math matrix", "temporal correlation definition", "how do i get temporal correlations of data", "how to do temporal correlations", "how do you do temporal correlations", "how can i do temporal correlation", "how do we do temporal correlations on a matrix", "what are temporal correlations", "which of the following is a function of the temporal correlation matrix?", "how to do temporal correlation", "how do you do temporal correlations?", "how do you make correlations in the context of a matrix?" ]

[ "how does wilcoxson test work", "can you assess if set of sequences increase or decrease?", "how do i test for increasing gradients in a linear model", "how to check if number is increasing in a linear model", "what test is used to find if a set of sequences increases or decreases?", "does the linear model of a linear sequence change", "how do you determine when a series of numbers increases or decreases?", "how to determine if a linear model increases or decreases", "how do you measure gradient?", "if a set of sequences increases or decreases what would it be", "how to determine whether a linear sequence increases or decreases", "how is a linear model used in math", "how do you determine whether the gradient is increasing or decreasing?", "does gradient of wilcoxson u test decrease or increase", "how to determine whether a set of sequences increases or decreases", "how to evaluate if sequence increases or decreases", "how to assess if a set of sequences increases or decreases", "how do linear gradients measure", "if a sequence decreases, what is the effect", "how to determine whether sequences are decreasing" ]

[ "how long are fish in the dark period of the experiment", "how long does a fish stay in the dark period", "how to determine the length of the dark period of a fish", "when does each fish have one dark period", "how to find the length of the rest periods in a fish", "how do fish study their light period", "how to find the pattern of fish movement in a time series", "how to find the difference between a dark and light period in fish", "how do i find the length of the rest period on a fish", "how to determine difference between dark and light periods", "how to find the ________ period of a fish", "how to compare the length of the fish light period and dark period", "how long is a dark period", "how to find the pattern of fish resting periods", "how to find the length of the periods in a fish", "time course time series", "what is the light period of a fish", "how to predict the length of a fish's rest period", "how long are fish periods in each treatment group", "what is the difference between the light period and dark period" ]

[ "what is the error when i use nls function", "which parameter in exponential function is used to generate a linear curve?", "which r function is an exponential curve", "jitter function r", "jitter_y function", "what is jitter in nls", "what is jitter_y in r", "jitter_y in nls function", "function that generates linear gradient", "how to solve simple linear gradient error in nls", "which function returns the initial gradient matrix in r", "jitter_y function", "what is jitter_y", "what is single gradient in r", "jitter_y functions", "what is jitter_y function", "what is the formula used to generate the exponential curve?", "jitter_y function", "how to solve for linear gradient in r", "function excel to generate linear gradient" ]

[ "what is the variance of a continuous variable", "which classifier should be used when variable variance is zero", "when a variable is 0 and its value is equal, why does the program crash?", "how can i use parametric learning for data", "why does my program crash when a dataset is small", "why would the c++ program crash", "when one variable is a variable with ___, the program crashes.", "what is the limit value for a variable for tan", "how to solve a variance problem", "if a variable has a variance of zero how can you solve the problem?", "what is the problem to learn when a dataset is small", "if one variable is a variable with zero variance, the program will crash", "when the data is small how do I use a parametric learning algorithm?", "where are a variable's variances in a data set", "when a data set is small, a linear regression analysis is required to solve the problem of", "why the program crashes", "why is the parameter of a variable zero?", "why do parametric learning algorithms crash when the dataset is small", "how is a continuous variable categorized", "why does a linear linear linear model crash" ]

[ "what is the difference between a ratio and a percentage?", "what is the difference between a ratio and a percentage in regression", "what's the difference between a percentage and a ratio", "what is the difference between a ratio and a percentage?", "what's the difference between a ratio and percentage?", "what is the difference between a ratio and a percentage", "how to predict the ratio in statistics", "how to predict the ratio of a party", "what is the difference between a ratio and a percentage", "what is the difference between a ratio and a percentage in statistics", "how to predict a linear model of male vs female", "why are the ratio and percentage of the data different", "how do you model the percentage of males", "what type of regression is used to compare percentage to ratio", "what is the difference between a ratio and a percentage", "can a linear regression model be used to predict a ratio", "what's the difference between a linear and multidimensional model of ratio?", "when is a ratio considered a percent", "can a linear regression predict percentage", "what is the difference between a ratio and a percentage in a regression model" ]

[ "how to compute an optimal discretization of data", "how to find the optimal length range of the mass function in an induced state markov chain", "induced mass function", "which of these is an example of an induced mass function?", "how to find the mass function of a continuous function", "what is induced mass function", "induced mass function in markov chain", "what is the optimal induced mass function", "which method is used to determine optimal discretization of data from a continuous distribution?", "what is the induced mass function of a continuous distribution", "what is the length vector of the induced mass function in this example", "which statement describes an induced mass function?", "induced mass kl divergence", "what is optimal induced mass?", "when to use the mass function of a continuous distribution", "how do you find the optimal discretization", "what is the induced mass function", "how to find optimal mass in a continuous matrix", "what is the induced mass function", "how to determine the optimal discretization of a continuous distribution in a database" ]

[ "how to simulate revenue distribution", "how to predict business revenue distribution", "how to create revenue distribution", "how to create sales distribution", "how to calculate the annual revenue distribution based on industry", "how to calculate revenue distribution for an industry", "what is the revenue distribution of companies", "revenue distribution", "how to create a simulation for revenue distribution in some industry?", "how to make business income distribution model", "how to create revenue distribution", "how to model revenue distribution", "how to calculate revenue distribution", "what is revenue distribution in industry", "how do you create a simulation for revenue distribution in some industry", "how to create revenue distribution in some industry", "how to generate revenue distribution", "how to create a revenue distribution simulation", "what is revenue distribution for industry", "how to calculate revenue distribution in industry" ]

[ "can you predict probability with logistic regression", "how to use logistic regression on sklearn", "how to use logistic regression", "how to use logistic regression", "how to predict probability from a linear model", "logistic regression predicts whether an event would happen", "how do you use logistic regression for predict value", "how to do logistic regression in sklearn", "when do we use logistic regression", "logistic regression predictors sklearn", "how do i calculate sklearn value", "how to use logistic regression", "how to use logistic regression for probability", "how to use logistic regression to predict values", "how can logistic regression predict", "what to find the probability in logistic regression", "how to get probability on a linear model in sklearn", "how to predict pd from dataset", "can logistic regression predict a value or not", "what is the use of logistic regression" ]

[ "what type of regression is used to calculate residual standard error", "when does linear regression get hard", "regression problem fitting a standard linear regression model of", "is standard error a regression", "how to do a linear regression with a residual standard error of x4", "what to do for regression in regression model", "which linear regression is based on a slope and a standard deviation of two lines?", "can linear regression solve residual standard error", "can a linear regression be used to find residual standard error in an r regression?", "what kind of regression is simple linear regression", "what is the standard deviation in linear regression", "why is residual standard error a low value in r", "why linear regression is a problem", "why are residual standard error high for simple linear regression", "why is residual standard error high in linear regression", "r how to test regression", "when can you do a linear regression with a residual standard error?", "how to do linear regression with a residual standard error", "why does linear regression use residual standard error", "is residual standard error homoscedastic" ]

[ "how to predict win probability on chess ra", "how do you find the probability of a win in chess", "how to calculate win probability", "how to determine probability of victory on chess", "what is the confidence interval of a score?", "how to calculate confidence interval", "how to calculate player's win probability", "how to calculate the chance of a win in the test", "how to calculate confidence intervals", "what is the coefficient of confidence in chess", "which function determines the probability of one player beating another?", "how to find the probability of an estimated win in chess", "how to determine the probability of win", "how to calculate winning probability based on the ratings of two players", "how to find wins probability", "how to find win probability", "calculate the confidence interval of chess", "how to calculate win probability", "how do you determine winning probability", "how to find win probability" ]

[ "does inflation affect the graph", "is the difference between cpi and log of insolvencies stationary", "what is the difference of the log of cpi", "what is stationarity with inflation", "how does cpi show inflation", "what does the difference between cpi and cpi of insolvencies show", "if inflation is stationary, why use the difference of log cpi", "is the difference of cpi stationary", "if the difference between cpi and log of insolvency is stationary, which is this", "difference of log for cpi", "why is inflation stationary in cpi", "how to determine if CPI is stationary", "does inflation affect the log of insolvencies", "difference of log of inflation", "which is the stationary graph for inflation", "what cpi log does the dfuller run", "if inflation is stationary does dfuller show", "is a difference of logs of cpi stationary", "why is cpi stationary", "why is the cpi measured as stationary" ]

[ "why do you multiply by lambda", "why do we multiply by lambda", "why do we add a lambda to exponential distribution", "why do we multiply lambda", "why is lambda used in exponential distribution", "why do you do a lambda", "why do we multiply lambda in exponential distribution", "which functions are lambda and how do we do this in exponential distributions", "why do we use lambda for exponential distribution", "why do we multiply by lambda exponential distribution", "why use lambda", "why do we multiply by lambda exponential distribution", "why do we multiply by lambda", "why multiply by lambda", "why do you use lambda in exponential distribution?", "why do we multiply by lambda", "why do we multiply by lambda exponential distribution", "why lambda in exponential distribution", "why do we multiply by lambda exponential distribution?", "when do we divide by lambda" ]

[ "what is the covariance of logit transformed variables", "when to use delta and covariance in logit", "what method is used to find the variance of logit transformed variables?", "how to find covariance in logistic regression", "how to find the covariance of a transform", "how to find the variance of logit transformed values", "what is the variance expression for logit transform", "logit covariance", "what is the covariance in logit transformations", "what is variable variance in logit", "which variable represents the variance of logit transforms?", "logit covariance function", "how to find covariance in logit", "how to find the variance of a logit transformed variable", "how do you find the covariance", "how to find covariance of logit", "how do you find the covariance of a logit transformed variable", "how to find the variance of logit transformed variables", "how do you find the variance expression in a logit", "logit variance in excel formula" ]

[ "what does covariate mean in ancova?", "are professional qualifications categorical", "are covariates categorical", "can covariates be categorical variables", "can covariates be categorical", "can a covariate be categorical?", "can covariate be categorical", "can covariates be categorical variables", "are covariates categorial variables?", "can ancova be a categorical variable", "can a covariate be a categorical variable", "can covariates be categorical", "are covariates categorical variables", "what is the difference between a covariate and a categorical variable", "is a professional qualification a covariate", "is professional qualification categorical", "can covariates be categorical", "can covariates and intervals be categorial", "can a covariate be a categorical variable", "can covariate be categorical or ordinal" ]

[ "how do i find pdf of the surplus energy of an energy system", "how to find pdf of surplus energy of system", "how to find pdf of surplus", "what is pdf of surplus", "what is pdf of surplus energy", "what is pdf for the load pdf", "how do you find the pdf of the surplus energy", "what is pdf of surplus", "what is pdf of surplus", "difference between load pdf and capacity pdf", "what are the pdf of energy", "what is the difference between capacity pdf and load pdf", "what is pdf of surplus", "which pdf is pdf", "what is pdf of surplus electricity", "what is pdf of surplus", "if there is a load pdf, what is pdf of the surplus", "what is pdf of surplus", "how to find pdf of surplus energy", "what is pdf of the surplus" ]

[ "how many random number generators does spss allow", "what is the limit of random number generator in spss", "what is the capacity of spss to create random numbers", "how many numbers is a random number generator using spss", "how many numbers can i generate in spss", "how many random numbers does SPSS have", "how many random numbers in spss truncated by spss?", "how many numbers does spss generate?", "how much random numbers does the random number generator generate", "what is the limit to sposs random number generator", "how many numbers can a random number generator generate in spss", "what's the max number in spss?", "what limits spss random number generator", "can the random generator generate numbers", "how many random numbers can spss create", "number generator in spss", "how many random numbers does spss", "can spss random numbers be generated", "how many numbers do you generate for spss", "can i set a random number generator in spss" ]

[ "spss command code mtc", "do i need a pc for monte carlo research?", "what does the spps command do for a research", "can you do calcro using spss", "is spss available for monte carlo research", "what program should i use to do monte carlo", "what is the code for a monasteral analysis", "what software to use to conduct monte carlo research", "what program do you use to do monte carlo", "do you need spss to do mcd?", "what is spss code", "which spss command is required for monte carlo", "which command is available to do spss research?", "code for monte carlo using spss", "what command do you use to create a monte carlo", "what spss command do you use to do monte carlo?", "is spss used for research", "what command to perform monte carlo research", "does spss use spss command", "what is the command code for spss" ]

[ "how to predict a time series in arima", "how to find arima in r", "how to find a ma terms in arima", "what are the arima terms", "how to use arima function", "arima definition for arithmetic", "r how to find ma terms in arima", "what is e t mean in arima", "what is the arima formula", "what is the arima function", "arima function definition", "arima java how to find the mass terms", "how to do arima r for ms term", "what is the value of arima in r", "how to figure out the average frequency of the arima function", "arima how to find the ma terms", "arima math definition", "what is arima", "arima function", "what is the r function of arima" ]

[ "which is a better option of probit or logit?", "what is the difference between logit and probit", "what is probit and logit regression", "are all independent variables binary", "what is the difference between a logit and probit regression", "which is better probit or logit", "why binary data in logit?", "what would a binary logistic regression be used for", "when independent variables are binary how many independent variables can be considered for logit regression? pt tdaps", "why does a logit regression need to be run on dependent variables", "what type of regression is probit", "is a binary variable a dependent variable?", "are independent and binary variables the same", "which type of regression has binary response", "which is an alternative to logit probit?", "why are independent variables binary?", "what is binary in logit regression", "what's the best alternative to a logit regression?", "what is a binary logit regression with dependent variable", "which statistical method can do a binary logit and probit regression" ]

[ "how to do a toxicity stats comparison", "when to normalize toxicity statistics", "how do you normalize patient numbers", "can we normalize the patient number", "normalization of patient numbers in a controlled clinical trial", "how do you normalize patients", "how do you normalize patient numbers?", "how to normalize patient data", "how do you find patients on each trial", "how many patients on each arm of a clinical trial", "how do you do a normalized study of the total patient number?", "what is the normality of patient numbers", "average number of human trials", "how do i normalize patient numbers", "average number of patients on each arm of a clinical trial", "what is normalizing for the patient count", "what is the ratio for patient numbers in a clinical trial", "how to do normalization on different arms of a clinical trial", "how to normalize patient numbers in a controlled trial", "normalization of numbers for different arms of a study" ]

[ "binary svm", "probablistic output for binary classification", "how to use probablistic classifier", "how to tell if a class label is correct in binary", "what is probablistic output?", "what is probablistic output libsvm", "probablistic output for binary svm", "probablistic output for binary classification", "what is the svm function", "what is the probablistic output in libsvm", "which libsvm class does binary classification use?", "can binary classification output be probablistic", "what is probablistic output for binary", "which method is used to assign labels in binary classification", "what is probablistic output", "svm classification", "how to determine the likely label assignment in binary svm", "binary svm", "which classifier has the least likelihood of assigning the correct label?", "libsvm svm distance" ]

[ "is a gb a conflict test", "which test indicates autocorrelation", "what test is used to test for autocorrelation", "which test indicates autocorrelation", "does the gb test show autocorrelation", "what tests indicate autocorrelation", "why do autocorrelation tests have contradictory results", "what test shows contradictory results", "what is the test for autocorrelation", "does the gb test show outocorrelation", "why is st test contradictory", "what tests are contradictory?", "does the correlation test have contradictory results quizlet", "what tests are contradictory results from autocorrelation", "what test shows contradictory results", "what results in autocorrelation tests", "how can autocorrelation testing be used? quizlet", "why is autocorrelation contradictory", "how to test autocorrelation in time series", "what test indicates autocorrelation" ]

[ "how to make legend in traminer", "what is seqplot_tentrop for a legend graph in tracer", "how to plot a legend in traminer", "what is legend function in traitor", "how to plot a graph in traminer", "can you plot legend in traminer", "what color are legends in tranminer chart", "what is legend function", "where to find legend in traminer", "how to get legend on traminer graph", "what is the tentrop function for legends", "what is tentrop", "tracer legend function", "how to plot four data points together in traminer chart", "which graph function will plot the entropy of a given data set?", "where to put a legend in traminer", "tr legend", "tracer function legend", "function to plot legend of a graph", "tracer plot legend function" ]

[ "how do you measure intrarater reliability", "how to estimate the reliability of blood volume in mri", "how to estimate intrarater reliability on mri", "intrarater reliability", "what is intrarater reliability", "how to estimate intrarater reliability", "which type of intrarater reliability would you suggest? mri", "intrarater reliability definition", "how do you estimate intrarater reliability", "what is intrarater reliability", "intrarater reliability of mri", "how do you measure intrarate reliability", "what is intrarater reliability", "how does the intrarater reliability of a mri study", "who is the rater for mri", "intrarater reliability mri", "intrarater reliability", "how to estimate the intrarater reliability in mri", "intrarater reliability definition brain", "how to determine intrarater reliability" ]

[ "what is the appropriate machine learning algorithm for this problem?", "how many input variables are there in a problem with machine learning", "what is the correct machine learning algorithm", "why is an output variable independent? how to solve?", "why are output variables not categorical", "what is the optimal machine learning algorithm for this problem?", "why are output variables variable variable", "why are output variables independent of each other in the mlr", "which of the following is an example of a distributed variable?", "difference between output variables and categorical", "what is the appropriate machine learning algorithm for this problem?", "why are the output variables independent", "what type of machine learning problem is predicting each output variable", "are output variables categorical", "why are output variables independent of each other", "what is the appropriate machine learning algorithm for this problem?", "what is the appropriate algorithm for a machine learning problem?", "what is the appropriate algorithm for this problem?", "what is a d variable machine learning", "what is machine learning a dependent output variable" ]

[ "cost estimate for chi-squared", "what is the value for the reliability of the interval estimation", "what is the value for a reliable interval", "how do you find the interval of measure on the table?", "what is the reliability of the interval estimation?", "average reliability of sigma", "what is interval reliability", "what is the reliability of an interval", "how to calculate the reliability of a measurement", "how to find reliability of $2$", "how to find interval in a table", "how to find interval estimation", "what is the reliability of the telescope?", "how to find reliability using a interval", "what is the accuracy of the measure of the distance of the telescope?", "what is the accuracy of the telescope", "what is the value for the interval estimation", "how to calculate a magnitude of one sigma x y m", "how to calculate the interval of a sigma", "what is the value of the interval for the measurement" ]

[ "calculating smoothed time series", "what is near limit on moving average", "what is the nearest border in a smoothed time series", "what does smoothed sa mean", "when smoothed, what is the near border", "average moving average in a time series", "what is the approximate value of a data point near the start or the end of a time series", "when determining the approximate border of a smoothed time series", "smoothing of a time series", "what is the smoothed value", "what is the near border of a time series", "what are the near border values of smoothed series", "how do you get smoothed data points from the beginning of time series", "how to smooth time series", "what is the function of smoothed time series", "when smoothed the moving average is at the end of the series, the value is:", "what is the near border of time series", "if moving average is smoothed by the average the values in the resulting timeseries", "which formula would recalculate the near border values?", "what is the range near the start and end of time series when smoothed with simple moving average?" ]

[ "associations rule mining definition", "why is association rule mining important", "association rule mining definition", "association rule mining definition", "can association rule mining be used on transactional data?", "association rule mining is what type of rule?", "when to use association rule mining", "how to use association rule mining", "association rule mining", "is association rule mining useful", "what is association rule mining data", "association rule mining", "association rule definition", "who developed association rule mining", "associations in relational database", "association rule mining", "association rule mining definition", "association rule mining definition", "when to apply association rule", "what is association rule mining" ]

[ "why is noise a good algorithm", "what algorithms can you use to model noise on one data set", "why use gmm algorithm", "what is one dimensional gaussiness in math", "what algorithms can be used to fit a gaussian mixture", "how is a noise cluster used in gaussian mixture", "how are clusters different from gaussian", "how to fit gaussian mixtures", "how to fit a Gaussian mixture", "how to find a cluster of noise data in a gaussian mixture model", "how to fit one-d gaussian mixture", "how does gaussian mixture algorithm work", "how to fit a gaussian mixture model", "why is noise cluster used in sputnik", "why fit a gaussian mixture with equal variance", "what would be appropriate for a gaussian mixture with equal variance", "how do gaussian mixture", "which algorithm would be useful to fit a gaussian mixture into the data?", "can a random noise cluster be fit in a gaussian mixture model", "how to fit a gaussian mixture" ]

[ "what is process mining for?", "what is the most used method to mine", "what is the purpose of a process mining study", "what is process mining?", "what are process mining results", "why is mining used in process mining", "what kind of questions to ask when introducing mining", "what are the research results for process mining", "what is the purpose of process mining?", "what is the process mining of a project", "what is the difference between process mining and time series prediction", "what is the process mining", "what is process mining", "what are the basic questions for process mining", "what's the most common question for process mining?", "what is the research results for process mining", "why is process mining important", "what is process mining in pc", "what is the basic questions for process mining", "what are the basic questions for introducing process mining?" ]

[ "how to test for a poisson distribution", "how to test pissonity", "when test positive, how are numbers calculated?", "how to test poisson in normality", "test if given samples are taken from", "how to find the poisson distribution", "how can i test if given samples are taken from a poisson distribution", "how do I test if given samples are taken from a poisson distribution and are normal?", "what is a standard test for taking a sample from a poisson distribution", "what does parsimony mean in normality test", "can you test a sample for poissonness", "how to test if given samples are taken from a poisson distribution", "what is normal for a poisson distribution", "how test if sample is taken from poisson distribution", "which test is performed to test if a given sample is taken from a poisson distribution?", "do you test for poissonness", "do you test for poisson-ness", "how is the normality of a given sample tested?", "what tests can be done on a poisson distribution test", "does the polynomial test normality testing" ]

[ "why does r use bars", "how to use a sample of data in r with a handle bar", "what is the plots in r", "why is a bar plot used in r", "why do you use bar plots in r?", "what is a r plot", "what is the purpose of a handlebar plot", "when presenting a table in r what should a bar plot be", "what kind of plot should you use for a data set", "why do you use bars in r", "why do scientists use bars in a plot", "why use bars on plots", "which r script do you use to make data plots?", "how to generate a sample plot in r", "how to use a bar plot r", "why are handle bar plots used in biological research", "why use a bar plot?", "which is more useful in a table or graph", "why do researchers use handlebars", "why use a bar plot" ]

[ "best way to find metaparameters of svm model", "which algorithm is faster grid search or grid search", "what is the fastest way to train a SVM model", "how does grid search work in a svm", "how fast is a grid search for svm", "fastest way to find metaparameters", "fastest way to find best metaparameters", "fastest way to locate svm parameters", "how fast can i find optimal meta parameters for svm", "which is faster grid search or svm?", "what is faster svm grid search or grid search", "what is best meta parameter to train a new svm model", "best way to train a model?", "what is the fastest method to find metaparameters of an svm model", "fastest way to find the best metaparameters of the svm model", "what is a faster method of finding metaparameters", "how fast can you find meta parameters for svm", "what is the fastest possible way to find metaparameters of svm", "why is search grids faster", "libsvm grid search" ]

[ "what is the maximum entropy markov math model?", "what is maximum entropy memm", "which m.e.m. model would you use?", "difference between memm and viverbi", "how do you make maximum entropy a markov classifier", "what is memm", "maximum entropy markov classifier", "can you use the maximum entropy classifier?", "what is the maximum entropy in a markov chain", "what is the difference between maximi and memm", "what is an memm?", "maximum entropy markov classifier", "what would the memm use", "how to make maximum entropy markov model", "what is the difference between max and memm", "how to use a maximal entropy classifier", "how to use maximum entropy", "which is an example of a maximum entropy classifier?", "how are markov classes used", "how does a maximum entropy classifier work" ]

[ "what is a good method for designing an htm network?", "what is a good method for designing an htm network?", "which algorithm describes the number of layers in a network in terms of depth and breadth?", "which algorithm would be useful for htm", "how to design an htm network", "what is an htm network", "how to calculate htm", "which algorithm is best for designing an htm network in terms of depth and breadth", "what is an htm network", "what is a good method to design an htm network", "what is good method for designing an htm network", "what is a good method for designing an htm network?", "what is the good method for designing an htm network in terms of depth and breadth?", "what is the best way to design an htm network?", "define htm", "htm is a network algorithm", "hawkins htm algorithm", "what is a good method for designing an htm network in terms of depth and breadth?", "how to design htm networks", "what is the best method for designing an htm system?" ]

[ "which feature engineering technique is most likely to destroy the underlying meaning of the features?", "what is feature engineering", "what is domain agnostic feature engineering", "which feature engineering technique would destroy the intuitive meaning of the underlying features", "what is feature engineering in data science", "what is feature engineering", "feature engineering definition", "which technique destroys intuitive meaning", "what is feature engineering", "what feature engineering technique is most likely to destroy meaning of the underlying features?", "which technology is an example of feature engineering?", "what type of feature engineering is used to build machine learning", "why do feature engineers destroy the meaning of the features", "what is feature engineering used for", "feature engineering what is the definition", "define domain independent feature engineering", "what is the difference between feature engineering and domain-agnostic feature engineering?", "which feature engineering technique preserves semantic meaning", "what features are preserved in the feature engineers", "why is feature engineering so useful" ]

[ "why do you find frequentist and bayesian reasoning defining the difference between a commonist and a frequentist?", "what makes bayesian and frequentist reasoning different", "what kind of reasoning is frequentists and bayesian", "what are the characteristics of the bayesian and frequentist perspective", "what makes up frequentist or bayesian reasoning?", "which statement is most likely to draw from the bayesian perspective and most likely to draw from the frequentist perspective?", "what is frequentist, bayesian, and frequentist reasoning", "why are we often associated with the Bayesian reasoning system?", "what is the difference in bayesian and frequentist reasoning?", "what distinguishes between frequentist and bayesian reasoning?", "how would you describe in plain english the characteristics that distinguish bayesian from frequentist reasoning?", "which of these statements is a characteristic of a frequentist rationality?", "types of frequentist reasoning", "what are the characteristics that distinguish bayesian and frequentist reasoning", "what is the characteristic of Bayesian?", "which is the main characteristic of bayesian and frequentist reasoning?", "what distinguishes bayesian from frequentist reasoning", "what is the main characteristic of frequentist reasoning", "define frequentist", "what are the characteristics of a frequentist reasoning" ]

[ "which term describes the gamma distribution of a random variable", "how to find the boundary value for a random variable in excel", "boundary value for two random variable is a sum of two variables with gamma and uniform distributions", "how to find the boundary value for a random variable", "what is the boundary value for a random variable", "calculating the boundary value of a mr variable", "how to find boundary value in a random variable?", "boundary value definition for random variable", "how do you determine the boundary value of the random variable?", "what is the boundary value for a random variable", "how to figure a boundary from a random variable", "calculating the boundary value for a random variable", "how do you find a boundary value for a random variable", "how to calculate boundary of random variable", "when to find boundary value of random variable", "how to find boundary of a summed random variable?", "what is boundary value", "what is the boundary of a random variable", "how to determine the boundary value for a variable", "how to find the boundary value for a random variable" ]

[ "what type of matrix does r use to find a coefficient", "sas covariance matrix definition", "what is the covariance matrix g", "how to make matrix in r in nlme", "what model is j2j2", "what is the _______ of the gaussian model?", "which matrix does sas fit in gaussian model?", "which ga in r would be the best fit", "what type of matrix does nlme use", "which covariance matrix to fit the gaussian model", "which r model is best fit to the following gaussian model?", "what is the matrix of a gaussian model in r", "how to use r to fit a specific model", "r. how to insert a covariance matrix", "why is it difficult to fit a gaussian model in r", "how to fit a gaussian model", "what type of matrix is used to fit a particular gaussian model in r?", "what is the correct formula for a gaussian model?", "what is the exchangeable matrix of sas", "which r model requires a general exchangeable matrix?" ]

[ "are nas a logistic regression", "logistic regression how valid", "logistic regression is valid to code as", "can you code logistic regression as 0", "can nas be 0 in regression", "why na in regression", "logistic regression valid na value", "is logistic regression valid to code as 0", "what is na in log regression", "logistic regression validation of logs data", "when are na's valid r", "is na valid to code in logistic regression", "why do i have to code nas in logistic regression", "are nas valid", "can you code na in regression?", "what is the code for na", "logistic regression how to code nana", "why is logistic regression valid", "can you code the na as a 0", "r is it valid to code a na in a logistic regression" ]

[ "normality in the 2x2 design definition", "what is the normality of the data", "how to check the normality of residuals", "do you need to check for normality within each of the four groups?", "can you determine normality of residuals", "how to test for normality in analyte", "how to check for normality within groups?", "what should a normal residuals be in an analyte", "normality within groups in ananova", "how often to check for normality", "what to do with normality of residuals", "what should you check for in an anova", "normality of the residuals in a 2x2 in a spss design", "how to determine the normality in an anova", "how to test for normality in an ana", "how are the normality of the residuals checked in an anova", "how to check for normality", "when to test for normality in anova", "what should we test for on anaNOVA", "can an anova test for normality within each group" ]

[ "can i do kellback l leifer divergence?", "kl divergence in practice", "calculate kl dissimilarity", "kl divergence measure", "how to find kl divergence", "calculate kullback-leibler divergence", "calculate the difference kullback ledger", "kl divergence equation", "kl divergence in practice", "how kullback leibler divergence is measured", "how to calculate kl divergence", "kl divergence equation", "what is kullback-leibler divergence?", "kullback-leibler divergence in practice", "how to calculate kl divergence in practice", "calculate kl in terms of dissimilarity", "kl divergence in math", "calculate the measure of kullback leibler divergence", "how calculate kl divergence", "how do you find kl divergence value" ]

[ "how many pc should varimax rotation be applied to", "how many pcs should varimax be applied to", "how many pcs should varimax rotate?", "how many variables do varimax rotation take", "how many pcs should varimax rotate", "how many pcs for varimax rotation", "how many pcs in a varimax eigenvector", "how many pcs for varimax rotation", "how many pcs for varimax rotation", "how many pcs of a variable for varimax rotation", "varimax rotation how many pcs", "how many pcs do varimax rotation", "how many pcs should varimax rotation be applied to quizlet", "how many pcs can varimax rotation be used on?", "how many pc's for varimax rotation", "how many pcs can varimax rotate to a list of pollutants?", "varimax how many pcs", "how many variables are there on the pc", "how many pc in varimax", "how many pc in varimax" ]

[ "what is the population standard deviation for a standard deviation a test", "what is the coefficient of difficulty on a test", "what is the coefficient of difficulty of a test", "how to calculate difficulty of a test with a coefficient", "what does the population standard deviation measure", "what is the population standard deviation", "what is the standard deviation of a test", "what is the coefficient used to calculate the relative difficulty of a test", "what coefficient should we find in math to show difficulty", "what is the average standard deviation of a test?", "which standard deviation should be used to calculate the relative difficulty of a test", "what is the smallest standard deviation on a test", "what coefficient should i use to calculate difficulty?", "average population standard deviation", "what does the average of a test with a standard deviation of 0.34% indicate", "how do i figure the difficulty of a test", "epa how to determine a difficulty of the test", "how to calculate the difficulty of a test", "what is the correct standard deviation", "what is the standard deviation in a test" ]

[ "what is the normal probability plot in r", "average probability plot r", "average probability plot in r", "how to estimate probability in r", "how to calculate normal distribution plot r", "how to find correlation coefficient in r", "what is normal distribution", "how to estimate normal probability plot", "what is the normal distribution of r", "what is normal probability plot", "normal probability plot", "how to plot normal distribution in r", "probability test", "what is the probability value of a normal probability plot", "how to figure probability", "r normality test for nonlinear regression", "calculate normal probability plot in r", "how to calculate probability plot", "how to find normality of a plot", "what is the normal probability" ]

[ "why use cross correlation in longitudinal analysis", "how to measure correlation", "what is the correlation coefficient in longitudinal data", "which of the following is a measure of longitudinal correlation", "what is the correlation coefficient of longitudinal data", "what is the definition of correlation coefficients in the longitudinal study", "what is the correlation coefficient in longitudinal data", "why is cross correlation ignoring time", "correlation coefficient in longitudinal data", "why use cross correlation", "why does correlation need to be measured", "correlation coefficient in data", "what is longitudinal correlation coefficient in statistics", "when using longitudinal data, what is the correlation coefficient?", "why do you use cross correlation", "what is the difference between a correlation coefficient and a time-series", "why use correlation coefficients for longitudinal analysis", "what variables are included in a longitudinal analysis?", "what is the purpose of the longitudinal analysis of the longitudinal data", "what is a correlation coefficient?" ]

[ "what is the significance of an out of sample correlation", "is in-sample interpretation valid", "insample vs out of sample", "what is the difference between in-sample and out-of-sample", "which model is an is a mean squared regression", "what is the difference between an in-sample vs an out-of-sample mean", "what is in-sample vs out-of-sample", "difference in in-sample and out-of-sample", "what is meant by the in-sample interpretation of a potential predictor", "what is meant by out of sample vs in-sample", "what is out of a sample in regression", "how to interpret an in-sample", "how can an iterative regression be interpreted?", "what is the difference between out of sample and in-sample", "which of the following is an example of an interpretation of significance in a regression model?", "out of sample vs. in sample interpretation", "what is significance based on the in-sample analysis", "what is the difference between an out-of-sample and an in-sample regression", "what is difference in significance in in sample and out of sample", "out of sample vs in sample" ]

[ "what is the correlation coefficient between x and y", "is pearson's coefficient linear", "what is the correlation in pb", "how is a correlation coefficient different from a continuous variable", "what is the relationship between linear correlation coefficient and point biserial", "which of the following is the difference between a linear and point-biserial correlation coefficient?", "are pearson's point biserial and linear coefficients comparable", "what is the difference between a linear correlation coefficient and a point-biserial correlation coefficient?", "pearson linear correlation coefficient", "what is the coefficient of a p r", "what is the comparison of the correlation between x and y?", "what does pearson's point biserial mean", "pb correlation coefficient", "is the correlation coefficient between x and y not comparable?", "which correlation coefficient is greater in continuous x and y?", "what is the relation between x and y", "what is the point biserial correlation coefficient", "which type of association is stronger x or y", "which coefficient would show the most strong correlation between x and y", "which is higher correlation coefficient or point biserial" ]

[ "when do post hoc tests require adjustment for multiple comparisons?", "when do post hoc test adjustments require an adjustment for multiple comparisons?", "when do post hoc tests need an adjustment", "what happens when you don't adjust for multiple comparisons", "when do you adjust multiple comparisons", "when do post-hoc tests require an adjustment for multiple comparisons", "when does a post hoc test require adjustment for multiple comparisons", "what happens if you do not adjust for multiple comparisons when you should", "when does phoc test require an adjustment for multiple comparisons", "when do posthoc tests require an adjustment for multiple comparisons", "when does post hoc test need adjustment for multiple comparisons", "when post hoc tests require an adjustment for multiple comparisons", "when do post hoc tests require an adjustment for multiple comparison", "do post hoc tests require adjustment for multiple comparisons", "when do post hoc tests require adjustment", "when do you need to do post hoc", "how often do post-hoc tests need adjustments for multiple comparisons.", "when a post hoc test is adjusted for multiple comparisons what does that mean", "when do post-hoc tests require adjustment for multiple comparisons", "when do post-hoc test adjustments require an adjustment for multiple comparisons" ]

[ "what type of question is used to find expected values?", "how to find expected value on chi squared question", "what questions can I find using chi squared distribution", "what is expected for a chi squared distribution", "what type of questions are used for chi squared distribution", "how to find expected values for chi squared questions", "what type of data is a chi square question", "how do i find the expected values", "how do I find expected values for this type of chi squared question", "chi squared question how do i find expected value", "how do you get expected value on chi squared", "how do you find the expected value for chi squared questions", "how do you use the chi squared distribution", "why do you find expected values in chi squared", "chi squared sigma meaning", "how do i find the expected value of the chi squared distribution test", "how to find expected values for chi squared test", "how do you find expected values in statistic test", "what to expect from a chi squared sample", "how do i find expected values for a chi squared question" ]

[ "what was the original theory of normal distributions", "where does distribution theories originate?", "where does normal distribution theory originate", "what is the basis of the normal distribution theory", "what is the theoretical basis of normal distributions", "what is normal distribution theory", "where does the theory of the distribution originate", "does normal distribution theory originate in psychology", "where does normal distribution theory come from", "where does the idea of normal distribution originate", "what kind of literature talks about the normal distributions of data", "where does normal distribution theory originate", "where does normative distribution theory originate", "where does normal distribution theory come from", "where does normal distribution theory originate", "when did normal distribution theory originate", "where did the term normal distribution originate?", "where does normal distribution theory come from", "which is the origin of the normal distribution theory", "where did normal distribution theory first appear in the literature and where did it begin" ]

[ "what is the best method of collecting student feedback", "how to collect data online", "how do we collect student feedback", "ways to collect data fast", "why use surveys in a class work", "how to quickly collect data from students for use in class demonstrations", "how to quickly collect data", "how quick can I collect a survey online", "what would a quick survey do in a class", "how to collect student survey data from students in class", "how to collect student online surveys", "how quickly collect data from students in class", "how do you collect data from students", "how to collect online answers", "what is the easiest method to collect online student data?", "how to collect data from students in class", "what is the best way to collect data yahoo", "how to collect data from students in a classroom", "how to collect data quickly", "how to collect student feedback" ]

[ "r chow test for structural breaks", "how to find out which region the chow test was used for", "what is chow test used for", "what is the structural break in r", "how do i find structural breaks in r", "what is a structural break in r", "which factor represents the structural break in a regression analysis?", "how to do structural breaks in regression", "how do you find structural breaks in r", "which factor indicates 3 regional subregions in r", "how to calculate structural break in regression", "structural break definition in r analysis", "how to find structural breaks in regression", "how to find out whether there's a structural break in r", "which factor is used to find structural breaks in a regression model", "how to find structural break in r", "identifying structural breaks in a regression analysis with the chow test", "how to find structural breaks", "what is the chow test for in regression analysis?", "how to find structural breaks in statistics in r" ]

[ "what is the difference between a normal and a zero", "what is the standard deviation for a meta study", "is sd.c the same as ta r", "r metaanalysis how to use zero values", "how to use zero values for sd in a meta analysis", "why use the term sd.e for a meta-analysis?", "how to use zero values", "which term does ta stand for", "what does ta stand for in r meta-analysis", "when do you use zero data for mean and standard deviation in meta-analysis of polichaetos", "what is mean mean sd ta", "how to calculate the standard deviation for a study with zero value for sd.e", "can i add sd to family", "why do you use zero values in a meta analysis", "where to find mean and sd in meta analysis", "which r variable can be used on a meta-analysis with zero value", "what is sd in meta-analysis", "what is a zero value in meta-analysis", "which of the following describes a method of a meta-analysis with zero value for the mean and standard deviation?", "what is zero sd in a meta study" ]

[ "what is gibbs sampling", "where is gibbs sampling used", "what is gibbs sampling", "what is gibbs sampling in bayesian", "what is gibbs sampling in hybrid bayesian", "what is gibbs sampling used for", "gibb's sampling in bayesian network", "what is gibbs sampling in a Bayesian network", "what is gibbs sampling used for", "what is gibbs sampling", "what is gibbs sampling?", "what is gibb sampling for", "what is gibbs sampling used for", "is gibb sampling in a hybrid network", "gibbs sampling in hybrid network", "what is gibb sampling used for", "what is gibbs sampling", "what is gibbs sampling", "how is gibbs sampling used in hybrid networks", "what is gibbs sampling in hybrid networks" ]

[ "how is the concentration of the experiment calculated?", "how to find the concentration bounds", "what is the probability of a sequence of experiments that terminates once the sum is reached?", "when will concentration bounds be reached", "what is the probability of the sequence terminated", "how to find the probability of converged sequence of random variables?", "how to determine the probability for each step", "when is the sum of an experiment reached?", "when does concentration limit occur at the beginning of a program", "how to find what is the probability that a sequence ends at 0?", "when does the sequence terminate", "how to find probability of a sequence of experiments", "when does the sequence terminate for the sum", "when is y_t", "when is the sum of x_i$ reached", "how do you find the probability of the sequence ending with zero", "what is the probability of the sequence of experiments that terminates in an infinite run?", "what is the probability of the convergent sequence in the math model", "when does the sequence terminate", "how to find the probability of a sequence of ________ experiments" ]

[ "when do you need conditional probability", "what does conditional probability mean in hmm", "hmm definition", "what does a conditional posterior mean?", "hmm gamma definition", "what is the marginal posterior of hmm?", "what is the difference between conditional probability and a marginal posterior of the hidden variables?", "when you get the marginal posterior you get the", "why does conditional probability mean gamma", "what it mean to assume the posterior of a conditional variable to hmm", "what does z mean", "hmm definition example", "how to find marginal posterior of hmm", "what does z mean in an hmm", "what is marginal posterior", "what is the value of conditional probability", "what is the j value in the marginal posterior", "what is the conditional posterior of the marginal posterior", "what is the value of z in hmm", "what do conditional posteriors mean" ]

[ "what is goldfeld-quiandt test", "what is an ad hoc test", "what is the definition of goldfeld-quantit test", "what is the difference between ad hoc and parametric", "what is the purpose of goldfeld", "what is the ad hoc test", "what is the goldfeld-quind test", "what is an ad hoc model", "which is an ad hoc test?", "what is the ad hoc test for a multivariate regression model", "what is ad hoc analysis", "is goldfeld quart test an abolic test?", "what is the role of the goldfeld–quant test", "what is ad hoc mean?", "what is the disadvantage of a q-test", "why is goldfeld-quant test an ad hoc test", "defining goldfeld quart test", "which is an ad hoc test breusch-pangan test", "what is goldfeld-quantit test", "what is the ad hoc test breusch-panga" ]

[ "what is the coefficient of correlation on two variables", "what is the formula for coefficient of correlation", "what is the function for the correlation coefficient", "how to find the correlation coefficient of one variable against two variables in the reference set", "how many independent variables in the correlation coefficient", "what is the formula for the coefficient of correlation", "define the formula for calculating coefficient of correlation against 3 or more variables", "what is the formula for the coefficient of correlation?", "what is the coefficient of correlation", "what is the coefficient of correlation", "what is the coefficient of correlation", "what is the coefficient of correlation between variables", "what is the coefficient of correlation formula", "what is the coefficient of correlation of the equation?", "how to resize rx", "how to find correlation coefficient", "what is xy - correlation coefficient", "what is the correlation coefficient between a single variable and two independent variables (lines)?", "what is the coefficient of correlation?", "how to find the correlation coefficient of a variable with two independent variables" ]

[ "what is the default model for comparison", "default model for comparison", "what would be standard model to use", "default model for comparison", "what would you use as your default model for comparison?", "default model for comparison", "default model for comparison", "what model for comparison", "default model for comparison", "what is the default model", "what is the default model", "what is the default model?", "what model is used for the best learning algorithm for the best learning algorithm", "default model for comparison", "what would you use as your default model for comparison?", "what is default model", "what would you use as your default model for comparison", "what model is used when comparing different datasets", "what type of model should you use for comparative analysis", "what would you use as your default model for comparison" ]

[ "why use daily update for frequently updated dataset", "can you normalize the age of a user", "can you use a rescaling algorithm to adjust an age", "can i normalize a frequently updated dataset?", "when a dataset is often updated", "why should i use rescaling in my dataset?", "when do you do normalization on often updated data", "what is the normalization algorithm on frequently updated dataset", "can you add a date to a dataset with a regularized normalization?", "can i use rescaling to normalize an older user?", "which algorithm can normalize data", "can you normalize a regularly updated dataset", "when do you normalize a large set of data?", "can we normalize an excel file", "when to do rescaling on frequently updated data", "can you normalize a frequently updated dataset", "how to normalize age data in a dataset", "can you make regularization of age", "how to normalize on frequently updated dataset", "how much normalization in frequently updated dataset" ]

[ "svc algorithm dependent", "is an svc algorithm dependent", "is support vector dependent", "is the svc algorithm independent", "is vector algorithm dependent", "what is support vector algorithm dependent on?", "are support vector algorithm dependent", "is svc independent", "is support vectors based", "is support vector algorithm dependent", "what is support vectors algorithms", "is svc a vector type algorithm", "are support vectors algorithms dependent", "what is support vectors algorithm for", "are support vectors algorithms dependent", "are vectors independent?", "are svc algorithms dependent", "can support vectors algorithms be dependent", "is support vectors algorithm dependent", "is support vectors algorithm dependent" ]

[ "what is the dynamic conditional correlations", "what is dynamic conditional correlation", "can you find dynamic conditional correlation", "where is dynamic conditional correlation", "how to report dcc in stata", "what is dynamic conditional correlation", "what are dynamic conditional correlations", "what is the correlations in the stata table", "what is the dynamic conditional correlation model", "dynamic conditional correlation model example", "what do dcc garch model stand for", "dynamic conditional correlation model", "what kind of correlation is a dynamic conditional correlation?", "what are the correlation numbers in the multivariate garch model", "what is the dynamic conditional correlation", "what does the diagram show of the dynamic conditional correlation", "dynamic conditional correlations statistics", "what dynamic conditional correlation is presented in the table in a dynamic conditional correlation garch model", "how dynamic conditional correlation works in stata", "what is dynamic conditional correlation in stata" ]

[ "why is a block effect used?", "which r model is used to control the random effect?", "what is the difference between a nested and random effect", "which model is the most appropriate for an analytical approach?", "how do you do bloc analysis in r", "how to control for nested effect", "what is the difference between a random effect and a nested effect?", "how to control the nested effect", "aov control vs random effect r", "r model nested effect", "what is the difference between the random and the nested effect?", "what is the difference between the nested effect and random effect?", "what is the difference between a random and nested effect in r", "which is a different model of an experiment in r", "what is the difference between aov and nested effect in r", "what is aov", "what is the difference between a random and a nested effect?", "what is the difference between a random effect and a nested effect?", "how is the block effect controlled", "what is the difference between a blocked and a randomly generated block" ]