most citedConvergence analysis of block Gibbs samplers for Bayesian linear mixed models with

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

math.ST2017

Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects

Tavis Abrahamsen, James P. Hobert

When performing Bayesian data analysis using a general linear mixed model, the resulting posterior density is almost always analytically intractable. However, if proper conditional…

math.ST2015★ 5 cited

Convergence analysis of block Gibbs samplers for Bayesian linear mixed models with

Tavis Abrahamsen, James P. Hobert

Exploration of the intractable posterior distributions associated with Bayesian versions of the general linear mixed model is often performed using Markov chain Monte Carlo. In par…