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Bayesian Data Analysis, Second Edition

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3 Reviews
Taylor & Francis, Jul 29, 2003 - Mathematics - 696 pages
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:

  • Stronger focus on MCMC
  • Revision of the computational advice in Part III
  • New chapters on nonlinear models and decision analysis
  • Several additional applied examples from the authors' recent research
  • Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more
  • Reorganization of chapters 6 and 7 on model checking and data collection

    Bayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.
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    Bibliographic information

    QR code for Bayesian Data Analysis, Second Edition
    TitleBayesian Data Analysis, Second Edition
    Chapman & Hall/CRC Texts in Statistical Science
    AuthorsAndrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin
    Edition2, revised
    PublisherTaylor & Francis, 2003
    ISBN1420057294, 9781420057294
    Length696 pages
    Subjects ›  › 

    Mathematics / Probability & Statistics / Bayesian Analysis
    Mathematics / Probability & Statistics / General
      
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