| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 7548405 | Statistics & Probability Letters | 2018 | 6 Pages | 
Abstract
												In this article, we construct a two-block Gibbs sampler using Polson et al.'s (2013) data augmentation technique for Bayesian logistic linear mixed models under proper priors. Furthermore, we prove the uniform ergodicity of this Gibbs sampler.
											Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Statistics and Probability
												
											Authors
												Xin Wang, Vivekananda Roy, 
											