Bayesian variable selection via particle stochastic search
نویسندگان
چکیده
منابع مشابه
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 this article, we propose a new computational approach based on sequential Monte Carlo (SMC), whi...
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ژورنال
عنوان ژورنال: Statistics & Probability Letters
سال: 2011
ISSN: 0167-7152
DOI: 10.1016/j.spl.2010.10.011