On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models

Bryant Davis, James P. Hobert

The emergence of big data has led to so-called convergence complexity analysis, which is the study of how Markov chain Monte Carlo (MCMC) algorithms behave as the sample size, $n$,…