Proposal distributions for covariance matrices in MCMC implementation of hierarchical models
135439
Covariance matrix proposal distribution
68303
Methods for testing a Bayesian method's software implementation
107720
Resampling / simulation methods: monte carlo, bootstrapping, jackknifing, cross-validation, randomization tests, and permutation tests
83594
Obtaining posteriors for multivariate Normal mixture models
127425
GEE, quasi-likelihood and what it generalizes
158244
Understanding Bayesian Predictive Distributions
87448
Why is a sample covariance matrix singular when sample size is less than number of variables?
67929
Ignoring the normalising constant in Bayesian MCMC
130941
Coding for an ordered covariate
143905
Metropolis-Hastings acceptance ratio for truncated proposal
104438
Random Forest mtry Spit-to-Split Variable Sampling Procedure
98325
Sample size calculation for mixed models
99218
Does a MCMC fulfilling detailed balance yields a stationary distribution?
60044
Gibbs sampling and mixed distribution
150197
Generalizing Poisson's binomial distribution to the multinomial case.
23346
How would you explain Markov Chain Monte Carlo (MCMC) to a layperson?
27102
Combining two covariance matrices