Comments on "Particle Markov Chain Monte Carlo" by C. Andrieu, A. Doucet and R. Hollenstein
Julien Cornebise, Gareth W. Peters

TL;DR
This paper provides commentary and extensions on the original 'Particle Markov Chain Monte Carlo' work, including detailed discussion and an ABC extension, to clarify and expand on the original methodology.
Contribution
It offers detailed commentary and an extended ABC version of the original Particle MCMC method, enhancing understanding and applicability.
Findings
Clarified the original Particle MCMC methodology
Presented a detailed ABC extension
Enhanced understanding of particle-based Bayesian inference
Abstract
We merge in this note our two discussions about the Read Paper "Particle Markov chain Monte Carlo" (Andrieu, Doucet, and Holenstein, 2010) presented on October 16th 2009 at the Royal Statistical Society, appearing in the Journal of the Royal Statistical Society Series B. We also present a more detailed version of the ABC extension.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Bayesian Methods and Mixture Models · Statistical Methods and Inference
