Bayesian Data Analysis (Chapman & Hall / CRC Texts in Statistical Science)
by Andrew Gelman, Aki Vehtari, Professor In The Department Of Statistics Andrew Gelman, John B Carlin, Hal S Stern, Donald B. Rubin, David B. Dunson
Bayesian Data Analysis, from the Chapman & Hall / CRC Texts in Statistical Science series, delivers a thorough introduction to Bayesian statistical methods. Authored by Professor Andrew Gelman, John B. Carlin, and Hal S. Stern, this text is ideal for those advancing their understanding of data analysis techniques in statistical science.
About This Book
Bayesian Data Analysis is a key resource in the Chapman & Hall / CRC Texts in Statistical Science series, authored by leading experts in the field.
The book provides an in-depth exploration of Bayesian approaches to data analysis, building on principles of statistical inference.
It serves as a foundational text for students and professionals seeking to apply Bayesian techniques in research and practice.
Published as part of a renowned series, it emphasizes rigorous methodologies for handling uncertainty in data.
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