Ming-Hui Chen Qi-Man Shao Joseph G. Ibrahim Chen Monte Carlo Methods in Bayesian Computation

Monte Carlo Methods in Bayesian Computation

von Ming-Hui Chen Qi-Man Shao Joseph G. Ibrahim

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Beschreibung

Bayesian statistics is one of the active research areas in statistics. This book provides the theoretical background behind the most important recent development, Markov chain Monte Carlos methods.
Includes supplementary material: sn.pub/extras

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Ming-Hui Chen

Themen in »Monte Carlo Methods in Bayesian Computation«

Bayesian Computation Estimator Likelihood Logistic Regression Markov Chain Monte Carlo Methods Time series statistics

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"This book combines the theory topics with good computer and application examples from the field of food science, agriculture, cancer and others. The volume will provide an excellent research resource for statisticians with an interest in computer intensive methods for modelling with different sorts of prior information."
A.V. Tsukanov in "Short Book Reviews", Vol. 20/3, December 2000

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Details

ISBN: 9781461270744
Verlag: Springer US
Erscheinung: 04.10.2012

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