From published reviews of the second edition:
`The second edition of Bayesian Data Analysis is clearly an improved
and expanded version of the first edition, published in 1995. In this
edition, some of the chapters are greatly reorganized and a couple of
chapters and some new real-life examples are added, along with a new
appendix for computational details. . . . The new edition puts special
emphasis on Bayesian computational tools, model checking, and
programming using statistical packages. All of these make the book
more usable. . . . I would not be surprised to see the book in almost
every statistician's library in a few years.' - T. Maiti, Iowa State
University, in Journal of the American Statistical Association,
September, 2004.
`simply the best all round modern book focussed 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 analysing 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, in Statistics in Medicine, 2004.
`If you have done some Bayesian modeling, using WinBUGS, and are
anxious to take the next steps to more sophisticated modeling and
diagnostics, then the book offers a wealth of advice. . . . For
anyone who has made minor modifications to a WinBUGS example to solve
an applied problem, the authors' careful and considered approach to
Bayesian methodology is an eye-opener. Throughout the text, they
really practice what is typically preached.'
- John Grego, University of South Carolina, in Technometrics, 2004.