Topic: Markov Chain Monte Carlo

Trace, Running-Mean, and Autocorrelation Diagnostics

The Independence Metropolis Sampler

Target Distributions and Markov Chain Sampling

Scan Schedules and Component Update Order

Rank-Normalized R-Hat for Multiple Chains

Rao-Blackwellized Estimation from MCMC Output

Random-Walk Metropolis and Proposal Scale

Proving Invariance of Metropolis-Hastings and Gibbs Kernels

Monte Carlo Standard Errors for MCMC Estimates

Metropolis-Hastings with Asymmetric Proposals