Bayesian Data Analysis: book & course


🔘 Book page: users.aalto.fi/~ave/BDA3.pdf & Course page: avehtari.github.io/BDA_course_Aalto/

“Text (except the BDA3 book) and videos licensed under CC-BY-NC 4.0. Code licensed under BSD-3. The electronic version of the course book Bayesian Data Analysis, 3rd ed, by Andrew Gelman, John Carlin, Hal Stern , David Dunson, Aki Vehtari, and Donald Rubin is available for non-commercial purposes. “

Objective

This course has been designed so that there is strong emphasis in computational aspects of Bayesian data analysis and using the latest computational tools”. (Source: Bayesian Data Analysis course, avehtari.github.io/BDA_course_Aalto/). “This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics”. (Source: Bayesian Data Analysis, Third edition, stat.columbia.edu/~gelman/book/)


Author

Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, Donald Rubin


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