
On the convergence rate of the "outoforder" block Gibbs sampler
It is shown that a seemingly harmless reordering of the steps in a block...
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Approximating the Spectral Gap of the PólyaGamma Gibbs Sampler
The selfadjoint, positive Markov operator defined by the PólyaGamma Gi...
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Dimension free convergence rates for Gibbs samplers for Bayesian linear mixed models
The emergence of big data has led to a growing interest in socalled con...
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On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models
The emergence of big data has led to socalled convergence complexity an...
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On the limitations of singlestep drift and minorization in Markov chain convergence analysis
Over the last three decades, there has been a considerable effort within...
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Wassersteinbased methods for convergence complexity analysis of MCMC with application to Albert and Chib's algorithm
Over the last 25 years, techniques based on drift and minorization (d&m)...
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A Hybrid Alternative to Gibbs Sampling for Bayesian Latent Variable Models
Gibbs sampling is a widely popular Markov chain Monte Carlo algorithm wh...
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Asymptotically Stable Drift and Minorization for Markov Chains with Application to Albert and Chib's Algorithm
The use of MCMC algorithms in high dimensional Bayesian problems has bec...
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Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects
When performing Bayesian data analysis using a general linear mixed mode...
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James P. Hobert
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