User John Salvatier

25 votes

4 answers

7k views

Weakly informative prior distributions for scale parameters

asked Jan 24, 2011 at 18:02

24 votes

1 answer

8k views

What MCMC algorithms/techniques are used for discrete parameters?

asked Mar 21, 2011 at 15:51

17 votes

2 answers

3k views

What is a 'message passing method'?

asked Jun 23, 2011 at 16:23

16 votes

2 answers

3k views

What's a good prior distribution for degrees of freedom in a t distribution?

asked Jan 24, 2011 at 17:55

13 votes

2 answers

541 views

What should I know about designing a good Hybrid/Hamiltonian Monte Carlo algorithm?

asked Feb 27, 2011 at 0:40

11 votes

1 answer

3k views

Are regressions with student-t errors useless?

asked Apr 10, 2012 at 23:52

11 votes

3 answers

2k views

Textbook deriving Metropolis-Hastings and Gibbs Sampling

asked Aug 7, 2012 at 3:29

9 votes

2 answers

2k views

What data and statistics skills are currently in high demand and where are they in high demand?

asked Nov 12, 2011 at 2:26

9 votes

4 answers

1k views

Standard algorithms for doing hierarchical linear regression?

asked Feb 23, 2012 at 16:43

8 votes

5 answers

770 views

Papers on Bayesian factor analysis?

asked Sep 2, 2010 at 2:00

8 votes

1 answer

539 views

Estimating a sparse inverse covariance matrix with known sparsity

asked Aug 17, 2012 at 5:47

7 votes

4 answers

1k views

What are good techniques and resources for teaching Bayes theorem?

asked Sep 9, 2011 at 15:37

6 votes

3 answers

5k views

Predicting continuous variables from text features

asked Jan 24, 2013 at 17:56

6 votes

3 answers

486 views

Deterministic algorithms inspired by MCMC?

asked May 25, 2012 at 23:21

5 votes

2 answers

708 views

What is a good optimization algorithm for finding the MAP?

asked Apr 18, 2012 at 17:29

4 votes

0 answers

122 views

Practical problems with difficult posteriors

asked May 9, 2012 at 18:46

2 votes

1 answer

180 views

Calculating induced covariances

asked Jul 16, 2012 at 5:46

Stack Exchange Network

17 Questions

Weakly informative prior distributions for scale parameters

What MCMC algorithms/techniques are used for discrete parameters?

What is a 'message passing method'?

What's a good prior distribution for degrees of freedom in a t distribution?

What should I know about designing a good Hybrid/Hamiltonian Monte Carlo algorithm?

Are regressions with student-t errors useless?

Textbook deriving Metropolis-Hastings and Gibbs Sampling

What data and statistics skills are currently in high demand and where are they in high demand?

Standard algorithms for doing hierarchical linear regression?

Papers on Bayesian factor analysis?

Estimating a sparse inverse covariance matrix with known sparsity

What are good techniques and resources for teaching Bayes theorem?

Predicting continuous variables from text features

Deterministic algorithms inspired by MCMC?

What is a good optimization algorithm for finding the MAP?

Practical problems with difficult posteriors

Calculating induced covariances