Bayesian Data Analysis, Second Edition

Front Cover
CRC Press, Jul 29, 2003 - Mathematics - 696 pages
6 Reviews

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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User Review  - Lurino - Goodreads

the definitive textbook for bayesian statistics. almost everything is here, but it's definitely not a gentle introduction. Read full review

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Contents

Fundamentals of Bayesian Inference
1
Fundamentals of Bayesian Data Analysis
118
Advanced Computation
280
Regression Models
359
Specific Models and Problems
472
Appendixes
583
References
623
Author index
652
Subject index
666
Copyright

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Bayesian Data Analysis
We will be using Bayesian Data Analysis (second edition), by Gelman, Meng, Stern, and Rubin (Chapman and Hall, 2003), as the course text. ...
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Bayesian Data Analysis By A. Gelman, jb Carlin, hs Stern, and db Rubin
The books under review here, Bayesian Data Analysis. by Gelman et al. and Bayes and Empirical Bayes. Methods for Data Analysis by Carlin and Louis, are ...
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Bayesian data analysis using R
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JSTOR: Bayesian Data Analysis.
Both are well written, informative, and welcome additions to the literature on practical Bayesian data analysis. There has been a growing need for books ...
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Books on Bayesian data analysis and related topics
Books on Bayesian data analysis and related topics ... [13] A. Gelman, jb Carlin, hs Stern, and db Rubin, Bayesian Data Analysis, Chapman & ...
public.lanl.gov/ kmh/ bayes.ps

Bayesian Data Analysis Gelman et al (2004) Brisbane Book Reading
Bayesian Data Analysis Gelman et al (2004) Brisbane Book Reading. Clair Alston (QUT) Sama Low Choy (QUT). Chapter 18: Mixture Models ...
www.maths.qut.edu.au/ big/ Gelman/ Sama_Gelman19_Multivariate.ppt

citeulike: Bayesian Data Analysis, Second Edition
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory ...
www.citeulike.org/ user/ wnpx/ article/ 105949

Large Scale Bayesian Data Analysis for Nuclear Fusion Experiments
A. Gelman, jb Carlin, hs Stern, db Rubin, Bayesian Data Analysis, Chapman & Hall, 2003. [3]. C. Howson, P Urbach, Scientific Reasoning: The Bayesian ...
www.iop.org/ Jet/ fulltext/ EFDC070504.pdf

Visualization in Bayesian Data Analysis
from statistical graphics and Bayesian data analysis. The fundamental idea is that we ..... In Bayesian data analysis, the reference distribution can be ...
www.springerlink.com/ index/ r05qt101h7p61031.pdf

Course Objective Computing Grades
Bayesian Data Analysis. Syllabus. Instructor: Steven Scott. Office: ... The primary text for the course is Bayesian Data Analysis by Gelman, Carlin, Stern, ...
www-rcf.usc.edu/ ~sls/ iom606/ iom606_syllabus.pdf

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