Bayesian data analysis
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 analysis from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analysis, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edi…
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- Full title :Bayesian data analysis / Andrew Gelman ...
Summary
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 analysis from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analysis, 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; and, 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.
Read More ↓Edition Statements
- Publication Date:2004.
- Edition:2. ed
Publication Statements
- Publisher(s):Chapman & Hall
- Place of Publication:Boca Raton, Fla
- Language:eng
- Publication Date:2004.
Notes
Literaturverz. S. 611 - 646.
The Physical Object
- Description:XXV, 668 Seiten : : Diagramme
Edition Identifiers
- ISBN:158488388X, 9781584883883
- oclc:ocn249197563
- LC Classification:QA279.5
- Dewey Decimal:519.542
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