Improved marginal likelihood estimation via power posteriors and importance sampling

Power posteriors have become popular in estimating the marginal likelihood of a Bayesian model. A power posterior is referred to as the posterior distribution that is proportional to the likelihood raised to a power b∈[0,1]. Important power-posterior-based algorithms include thermodynamic integratio...

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Bibliographic Details
Main Authors: LI, Yong, WANG, Nianling, Jun YU
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/soe_research/2552
https://ink.library.smu.edu.sg/context/soe_research/article/3551/viewcontent/Improved_Marginal_Likelihood_Estimation_via_Power_Posteriors_and_Importance_Sampling__1_.pdf
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Institution: Singapore Management University
Language: English