Bayesian Data Analysis, 3rd Edition, 9781439840955
Hardcover
Now in its third edition, this classic book continues to take an applied approach to analysis using up-to-date Bayesian methods.

$153.61

  • Hardcover

    675 pages

  • Release Date

    5 November 2013

Check Delivery Options

Summary

Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics comm…

Book Details

ISBN-13:9781439840955
ISBN-10:1439840954
Author:Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
Publisher:Taylor & Francis Inc
Imprint:Chapman & Hall/CRC
Format:Hardcover
Number of Pages:675
Edition:3rd
Release Date:5 November 2013
Weight:1.44kg
Dimensions:47mm x 263mm x 237mm
Series:Chapman & Hall/CRC Texts in Statistical Science
What They're Saying

Critics Review

“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

“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

About The Author

Andrew Gelman

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Doanld B. Rubin

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.