Bayesian methods a social and behavioral sciences approach

Requiring only a background in introductory statistics, calculus and matrix algebra, this text provides explanations of derivations and theories using a computationally oriented approach. It covers topics such as: MCMC algorithms, perfect sampling and Bayesian nonparametrics. It emphasizes R computi...

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Bibliographic Details
Main Author:	Gill, Jeff (Author)
Format:	Book
Language:	English
Published:	Boca Raton, FL Chapman & Hall/CRC 2008.
Edition:	Second edition
Series:	Statistics in the social and behavioral sciences series
Subjects:	Bayesian statistical decision theory. Social sciences > Statistical methods.
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