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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society Publishing
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632544/ https://www.ncbi.nlm.nih.gov/pubmed/26543580 http://dx.doi.org/10.1098/rsos.150030 |