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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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Foilsithe in:Bayesian Anal
Main Authors: Wang, Yu-Bo, Chen, Ming-Hui, Kuo, Lynn, Lewis, Paul O.
Formáid: Artigo
Teanga:Inglês
Foilsithe: 2017
Ábhair:
Rochtain Ar Líne: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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