Bayesian data analysis

✍ Scribed by Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin

Publisher: Chapman & Hall/CRC
Year: 2004
Tongue: English
Leaves: 695
Series: Texts in statistical science
Edition: 2nd ed
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 critiques statistical analysis from a Bayesian perspective. Changes in the new edition include: added material on how Bayesian methods are connected to other approaches, stronger focus on MCMC, added chapter on further computation topics, more examples, and additional chapters on current models for Bayesian data analysis such as equation models, generalized linear mixed models, and more. The book is an introductory text and a reference for working scientists throughout their professional life.

✦ Subjects

Математика;Теория вероятностей и математическая статистика;Математическая статистика;

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