Bayesian Methods for Data Analysis

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Forfattere: Bradley P. (University of Minnesota Minneapolis Minnesota USA) Carlin , Thomas A. (Johns Hopkins Bloomberg School of Public Health MD USA Johns Hopkins Bloomberg School of Public Health B Louis
Format: Innbundet
Antall sider: 552
Språk: Engelsk
Forlag/Utgiver: SD Books
Serienavn: Chapman & Hall/CRC Texts in Statistical Science
EAN: 9781584886976
Utgivelsesår: 2008
Bidragsyter: Carlin, Bradley P. (University of Minnesota, Minneapolis, Minnesota, USA); Louis, Thomas A. (Johns Hopkins Bloomberg School of Public Health, MD, USA Johns Hopkins Bloomberg School of Public Health, B

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques.

New to the Third Edition

New data examples, corresponding R and WinBUGS code, and homework problems

Explicit descriptions and illustrations of hierarchical modeling¿now commonplace in Bayesian data analysis

A new chapter on Bayesian design that emphasizes Bayesian clinical trials

A completely revised and expanded section on ranking and histogram estimation

A new case study on infectious disease modeling and the 1918 flu epidemic

A solutions manual for qualifying instructors that contains s