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"The second edition was reviewed in JASA by Maiti (2004) … we now stand 10 years later with an even more impressive textbook that truly stands for what Bayesian data analysis should be. … this being a third edition begets the question of what is new when compared with the second edition? Quite a lot … this is truly the reference book for a graduate course on Bayesian statistics and not only Bayesian data analysis."
—Christian P. Robert, Journal of the American Statistical Association, September 2014, Vol. 109
Praise for the Second Edition
… it is simply the best all-around modern book focused on data analysis currently available. … There is enough important additional material here that those with the first edition should seriously consider updating to the new version. … when students or colleagues ask me which book they need to start with in order to take them as far as possible down the road toward analyzing their own data, Gelman et al. has been my answer since 1995. The second edition makes this an even more robust choice.
—Lawrence Joseph, Montreal General Hospital and McGill University, Statistics in Medicine, Vol. 23, 2004
I am thoroughly excited to have this book in hand to supplement course material and to offer research collaborators and clients at our consulting lab more sophisticated methods to solve their research problems.
—John Grego, University of South Carolina, USA
… easily the most comprehensive, scholarly, and thoughtful book on the subject, and I think will do much to promote the use of Bayesian methods
—David Blackwell, University of California, Berkeley, USA
This book is not only comprehensive - it is also well organized and extremely well written.
The book starts with basic principles, describes current approaches to Bayesian modeling, computational statistics and related fields.
This, along with the math requirements, makes the book suited for the graduate student and/or practitioner.
As other reviewers have mentioned, this isn't a cover to cover read, but a summary of a reference/text book. Read morePublished 1 month ago by J. Leeman
I grew up in the frequentist world, learning frequentist ways, using my p-values like a diligent little statistician. A few years ago, I was introduced to...the other. Read morePublished 1 month ago by Jason Stokes
I recently started programming in R and wanted to get to the theory of the Data Analysis and supplement my knowledge of programming. Read morePublished 1 month ago by XNOR
This book is not only comprehensive - it is also well organized and extremely well written. The prose flows nicely and topics follow one another logically, keeping your interest... Read morePublished 1 month ago by J. Schneider
This volume is the classic in the field of Bayesian Data Analysis and the publishers have added two additional authors for this new edition. Read morePublished 2 months ago by Geoff Martin
Excellent coverage and examples by someone who is clearly the leader in this literaturePublished 4 months ago by U. Lall