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Bayesian Variable Selection via Particle Stochastic Search

We focus on Bayesian variable selection in regression models. One challenge is to search the huge model space adequately, while identifying high posterior probability regions. In the past decades, the main focus has been on the use of Markov chain Monte Carlo (MCMC) algorithms for these purposes. In...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Shi, Minghui, Dunson, David B.
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2011
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC3029030/
https://ncbi.nlm.nih.gov/pubmed/21278860
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spl.2010.10.011
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