期刊
STATISTICAL SCIENCE
卷 19, 期 1, 页码 118-127出版社
INST MATHEMATICAL STATISTICS
DOI: 10.1214/088342304000000071
关键词
Monte Carlo methods; importance sampling; Markov chain Monte Carlo (MCMC) algorithms
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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