Analysis of Convergence Rates of Some Gibbs Samplers on Continuous State\n Spaces

2011/08/27 by Aaron Smith, Smith, Aaron
Computer Science · Mathematics · #60J05 #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Probability (math.PR)

paper · pdf · doi:10.48550/arxiv.1108.5415

openalex publication_date 2011/08/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We use a non-Markovian coupling and small modifications of techniques from\nthe theory of finite Markov chains to analyze some Markov chains on continuous\nstate spaces. The first is a Gibbs sampler on narrow contingency tables, the\nsecond a gen- eralization of a sampler introduced by Randall and Winkler.\n

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