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16 Questions

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Why does Ridge Regression work well in the presence of multicollinearity?

multicollinearity ridge-regression

Jun 25 '14 at 23:16 Greg Snow 45k

votes

answers

672

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Is there a way to force a relationship between coefficients in logistic regression?

r logistic generalized-linear-model nonlinear-regression

Dec 5 '14 at 11:08 conjugateprior 18.9k

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answer

views

Why does my proof for showing that the Kaplan-Meier estimate is unbiased not work?

probability survival kaplan-meier

Nov 16 '17 at 15:09 Ferdi 4,662

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answer

247

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Do I get the nice asymptotic properties of MLE when I restrict the parameter space?

maximum-likelihood asymptotics

Mar 14 '15 at 2:18 TrynnaDoStat 7,004

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answers

views

DF for regression SS in multiple linear regression when sigma is known

regression multiple-regression degrees-of-freedom

Dec 5 '13 at 16:41 gung - Reinstate Monica 127k

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answer

views

Am I taking crazy pills here or this A/B testing tool's documentation dead wrong?

hypothesis-testing statistical-significance p-value interpretation experiment-design

Aug 28 '19 at 6:29 Stephan Kolassa 80.8k

votes

answers

330

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Is the posterior of a random variable's mean necessarily the mean of that random variable's posterior?

bayesian mean posterior hierarchical-bayesian moments

Jul 23 '18 at 17:43 Taylor 17.5k

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answer

views

Is it possible to get a covariance matrix of fitted values for a GLM model in R?

r logistic generalized-linear-model prediction covariance

Sep 29 '14 at 15:10 bdeonovic 7,401

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answer

209

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Why does Stan initialize an MCMC chain with a random value generated uniformly from [-2, 2] instead of a random value generated from the prior?

bayesian markov-chain-montecarlo prior stan hamiltonian-monte-carlo

Jul 23 '19 at 1:07 Cliff AB 17.2k

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answers

189

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Dirichlet Process vs. Mixture Models with Many Mixtures

bayesian dirichlet-process nonparametric-bayes finite-mixture-model

Aug 9 '17 at 12:41 TrynnaDoStat 7,004

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234

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Can my Bayesian prior reflect what the data should say rather than what it could say?

bayesian modeling assumptions prior

Feb 19 '15 at 17:16 jaradniemi 4,331

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answer

266

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Covariance of vector of sample means with different sample sizes?

mathematical-statistics mean covariance-matrix

Feb 11 '18 at 18:29 TrynnaDoStat 7,004

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answers

views

Data's Effect on Optimization Algorithm running into a Saddle Point

maximum-likelihood nonlinear optimization

Jan 8 '16 at 15:17 TrynnaDoStat 7,004

votes

answer

views

How to do model selection for Cox Proportional Hazards Model when stratifying?

survival model-selection cox-model

Dec 1 '13 at 23:37 Peter Flom 91.8k

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answers

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Why does the sample mean work as an estimator when we know data is not iid?

estimation central-limit-theorem confounding point-estimation

Jul 23 at 0:43 TrynnaDoStat 7,004

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answer

320

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Can distributions that are in the exponential family, but not the natural exponential family, be formed as GLM?

generalized-linear-model lognormal-distribution beta-distribution exponential-family beta-regression

Nov 12 '19 at 8:02 Glen_b 247k

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16 Questions

Why does Ridge Regression work well in the presence of multicollinearity?

Is there a way to force a relationship between coefficients in logistic regression?

Why does my proof for showing that the Kaplan-Meier estimate is unbiased not work?

Do I get the nice asymptotic properties of MLE when I restrict the parameter space?

DF for regression SS in multiple linear regression when sigma is known

Am I taking crazy pills here or this A/B testing tool's documentation dead wrong?

Is the posterior of a random variable's mean necessarily the mean of that random variable's posterior?

Is it possible to get a covariance matrix of fitted values for a GLM model in R?

Why does Stan initialize an MCMC chain with a random value generated uniformly from [-2, 2] instead of a random value generated from the prior?

Dirichlet Process vs. Mixture Models with Many Mixtures

Can my Bayesian prior reflect what the data should say rather than what it could say?

Covariance of vector of sample means with different sample sizes?

Data's Effect on Optimization Algorithm running into a Saddle Point

How to do model selection for Cox Proportional Hazards Model when stratifying?

Why does the sample mean work as an estimator when we know data is not iid?

Can distributions that are in the exponential family, but not the natural exponential family, be formed as GLM?