4.5 Article

Computational advances for and from Bayesian analysis

期刊

STATISTICAL SCIENCE
卷 19, 期 1, 页码 118-127

出版社

INST MATHEMATICAL STATISTICS
DOI: 10.1214/088342304000000071

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Monte Carlo methods; importance sampling; Markov chain Monte Carlo (MCMC) algorithms

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The emergence in the past years of Bayesian analysis in many methodological and applied fields as the solution to the modeling of complex problems cannot be dissociated from major changes in its computational implementation. We show in this review how the advances in Bayesian analysis and statistical computation are intermingled.

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