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TrynnaDoStat

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regression

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25 posts edited
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257 votes cast
Summary Answers Questions Tags Badges Bookmarks Bounties Reputation All actions

16 Questions

Votes Activity Newest Views
8
16
votes
1
answer
10k
views

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

multicollinearity ridge-regression
Jun 25 '14 at 23:16 Greg Snow 45k
1
8
votes
2
answers
672
views

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
4
6
votes
1
answer
2k
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
1
6
votes
1
answer
247
views

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
 
5
votes
2
answers
9k
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
1
4
votes
1
answer
89
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
 
4
votes
2
answers
330
views

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
1
4
votes
1
answer
2k
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
 
3
votes
1
answer
209
views

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
1
3
votes
0
answers
189
views

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
 
3
votes
2
answers
234
views

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
 
2
votes
1
answer
266
views

Covariance of vector of sample means with different sample sizes?

mathematical-statistics mean covariance-matrix
Feb 11 '18 at 18:29 TrynnaDoStat 7,004
 
2
votes
0
answers
79
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
 
2
votes
1
answer
2k
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
 
0
votes
0
answers
34
views

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
 
0
votes
1
answer
320
views

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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