Comments on "Particle Markov chain Monte Carlo" by C. Andrieu, A. Doucet, and R. Hollenstein
Pierre Jacob, Nicolas Chopin, Christian P. Robert, Havard Rue
TL;DR
This paper provides critical comments and discussions on the Particle Markov Chain Monte Carlo method as presented by Andrieu, Doucet, and Hollenstein, aiming to clarify and evaluate its contributions.
Contribution
It offers a detailed critique and insights on the Particle MCMC approach, highlighting strengths and potential limitations.
Findings
Clarifies key aspects of Particle MCMC
Identifies potential issues and limitations
Suggests directions for future research
Abstract
This is the compilation of our comments submitted to the Journal of the Royal Statistical Society, Series B, to be published within the discussion of the Read Paper of Andrieu, Doucet and Hollenstein.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Statistical Methods and Inference · Statistical Methods and Bayesian Inference