期刊
AMERICAN STATISTICIAN
卷 57, 期 4, 页码 254-257出版社
AMER STATISTICAL ASSOC
DOI: 10.1198/0003130032413
关键词
biography; Markov chain; Monte Carlo method; simulation; statistical computing
The Metropolis-Hastings algorithm is an extremely popular Markov chain Monte Carlo technique among statisticians. This article explores the history of the algorithm, highlighting key personalities and events in its development. We relate reasons for the delay in the acceptance of the algorithm and reasons for its recent popularity.
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