Regeneration-enriched Markov processes with application to Monte Carlo

Author:

Wang Andi Q.1,Pollock Murray2,Roberts Gareth O.3,Steinsaltz David4

Affiliation:

1. Department of Mathematics, University of Bristol

2. School of Mathematics, Statistics and Physics, Newcastle University

3. Department of Statistics, University of Warwick

4. Department of Statistics, University of Oxford

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bayesian fusion: scalable unification of distributed statistical analyses;Journal of the Royal Statistical Society Series B: Statistical Methodology;2023-01-30

2. On the Hill relation and the mean reaction time for metastable processes;Stochastic Processes and their Applications;2023-01

3. Linking the mixing times of random walks on static and dynamic random graphs;Stochastic Processes and their Applications;2022-11

4. Exact convergence analysis of the independent Metropolis-Hastings algorithms;Bernoulli;2022-08-01

5. Mixing time trichotomy in regenerating dynamic digraphs;Stochastic Processes and their Applications;2021-07

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