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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
 
 
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science) (Hardcover)

by Andrew Gelman (Author), John B. Carlin (Author), Hal S. Stern (Author), Donald B. Rubin (Author) "By Bayesian data analysis, we mean practical methods for making inferences from data using probability models for quantities we observe and for quantities about which..." (more)
Key Phrases: hierarchical normal model, kidney cancer death rates, jumping distribution, United States, Monte Carlo, New York City (more...)
4.2 out of 5 stars See all reviews (9 customer reviews)

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Editorial Reviews

Review
Bayesian Data Analysis is easily the most comprehensive, scholarly, and thoughtful book on the subject, and I think will do much to promote the use of Bayesian methods
- David Blackwell, Department of Statistics, University of California, Berkeley, USA

Bayesian Data Analysis is easily the most comprehensive, scholarly, and thoughtful book on the subject, and I think will do much to promote the use of Bayesian methods
-Prof. David Blackwell, Department of Statistics, University of California, Berkeley

If you have done some Bayesian modeling, using WinBUGS, and are anxious to take the next steps to more sophisticated modeling and diagnostics, then the book offers a wealth of advice… This is a book that challeng