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.