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A New Monte Carlo Method for Estimating Marginal Likelihoods
Evaluating the marginal likelihood in Bayesian analysis is essential for model selection. Estimators based on a single Markov chain Monte Carlo sample from the posterior distribution include the harmonic mean estimator and the inflated density ratio estimator. We propose a new class of Monte Carlo e...
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| Publicado no: | Bayesian Anal |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5967857/ https://ncbi.nlm.nih.gov/pubmed/29805725 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/17-BA1049 |
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