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Bayesian Methods for Data Analysis

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Bayesian Methods for Data Analysis Synopsis

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 solutions, computer code, and associated output for every homework problem-available both electronically and in print
  • Ideal for Anyone Performing Statistical Analyses

    Focusing on applications from biostatistics, epidemiology, and medicine, this text builds on the popularity of its predecessors by making it suitable for even more practitioners and students.

    About This Edition

    ISBN: 9781584886976
    Publication date:
    Author: Bradley P Carlin, Thomas A Louis
    Publisher: Chapman & Hall/CRC an imprint of CRC Press
    Format: Hardback
    Pagination: 535 pages
    Series: Chapman & Hall/CRC Texts in Statistical Science Series
    Genres: Biology, life sciences
    Probability and statistics

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