Reversible jump Markov chain Monte Carlo and multi-model samplers

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arxiv 1001.2055 v2 pith:EVNZWGNC submitted 2010-01-13 stat.ME

Yanan Fan , Scott A. Sisson , Laurence Davies This is my paper · ORCID

classification stat.ME

keywords appearbrookscarlochainchapmaneditiongelmanhall

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To appear in the second edition of the MCMC handbook, S. P. Brooks, A. Gelman, G. Jones and X.-L. Meng (eds), Chapman & Hall.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

A story about a tipsy kangaroo: Reversible jump MCMC for model selection in the analysis of gravitational-wave signals from the coalescence of compact objects
gr-qc 2026-07 conditional novelty 7.0 of 10

A single RJMCMC run can rank BBH, NSBH, and BNS waveform models and deliver the favored model's parameter posteriors, validated on injections and two real GW events.