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.A general principle is at work here: whenever there is replication, in the sense of many exchangeable units observed, there is scope for ... 1.6 Example of probability assignment: football point spreads As an example of how probabilities might be assigned using empirical ... If the point spread is an integer, then the implication is that team A is as likely to win by more points than the point spread as it is toanbsp;...

Title | : | Bayesian Data Analysis, Second Edition |

Author | : | Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin |

Publisher | : | CRC Press - 2003-07-29 |

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