An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations

Selection among alternative theoretical models given an observed dataset is an important challenge in many areas of physics and astronomy. Reversible-jump Markov chain Monte Carlo (RJMCMC) is an extremely powerful technique for performing Bayesian model selection, but it suffers from a fundamental d...

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Detalhes bibliográficos

Principais autores:	W. M. Farr, I. Mandel, D. Stevens
Formato:	Artigo
Idioma:	Inglês
Publicado em:	The Royal Society 2015-01-01
coleção:	Royal Society Open Science
Assuntos:	markov chain monte carlo reversible-jump markov chain monte carlo data analysis
Acesso em linha:	https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150030
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