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Can I read Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) on EtoBox?

Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by [name missing], Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, David B. Dunson, Aki Vehtari is a nonfiction available to read on EtoBox.

What is Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) about?

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 adv

Who reads Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
[name missing], Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, David B. Dunson, Aki Vehtari
Publisher
Chapman and Hall/CRC
Published
2004
Language
EN
ISBN
9780203491287
Category
nonfiction
Subjects
Mathematics, Computer Science, Stem
Rating
4.14 / 5 (240 ratings)
Updated
2026-03-13

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