Bayesian Data Analysis - Chapman & Hall/CRC Texts in Statistical Science (Hardback)
  • Bayesian Data Analysis - Chapman & Hall/CRC Texts in Statistical Science (Hardback)
zoom

Bayesian Data Analysis - Chapman & Hall/CRC Texts in Statistical Science (Hardback)

(author), (author), (author), (author), (author), (author)
£79.99
Hardback 675 Pages
Published: 01/11/2013
  • In stock
  • Free UK delivery

Usually dispatched within 2-3 working days

  • This item has been added to your basket

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 community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice.

New to the Third Edition

  • Four new chapters on nonparametric modeling
  • Coverage of weakly informative priors and boundary-avoiding priors
  • Updated discussion of cross-validation and predictive information criteria
  • Improved convergence monitoring and effective sample size calculations for iterative simulation
  • Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation
  • New and revised software code

The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Publisher: Taylor & Francis Inc
ISBN: 9781439840955
Number of pages: 675
Weight: 1324 g
Dimensions: 254 x 178 mm


MEDIA REVIEWS

"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. 109Praise 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, 2004I 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. 109Praise 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, 2004I 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

You may also be interested in...

How to Use Statistics
Added to basket
Psychology Statistics For Dummies
Added to basket
The Elements of Statistical Learning
Added to basket
Naked Statistics
Added to basket
£13.99
Paperback
Cartoon Guide to Statistics
Added to basket
Probability: A Very Short Introduction
Added to basket
The Signal and the Noise
Added to basket
The Shoelace Book
Added to basket
The Theory That Would Not Die
Added to basket
The Norm Chronicles
Added to basket
Statistics: A Very Short Introduction
Added to basket
Bayesian Statistics
Added to basket
£44.95
Paperback
A Dictionary of Statistics 3e
Added to basket
Bayesian Reasoning and Machine Learning
Added to basket

Please sign in to write a review

Your review has been submitted successfully.

env: aptum
branch: