Subjective and Objective Bayesian Statistics

Shorter, more concise chapters provide flexible coverage of the subject.Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.Includes topics not covered in other books, such as the de Finetti Transform.Author S. James Press is the modern guru of Bayesian statistics.

"…written in a clear, accessible manner…an enjoyable read and a comprehensive introduction to Bayesian theory and methods." (Journal of the American Statistical Association, March 2005) "The book is well written. It should continue the success of the first edition and become the main reference book in the field.” (Interfaces, March-April 2004) "…among several books I have reviewed, this is one of the best. I very strongly recommend this book to statisticians and applied researchers." (Journal of Statistical Computation & Simulation, March 2004) "...a welcome addition to the library of any practicing statistician, not only as a thorough and readable text on Bayesian statistics, but also as a rich source of reference material for understanding the historical development of the subject." (Technometrics, Vol. 45, No. 4, November 2003) “...a second edition...but really a new book, not merely the first edition with a few changes inserted...a completely restructured book with major new chapters and material...” (Quarterly of Applied Mathematics, Vol. LXI, No. 2, June 2003) "...this second edition is a completely restructured book with major new chapters and material..." (Zentralblatt Math, 2003)

S. JAMES PRESS, PhD, is a Distinguished Professor in the Department of Statistics at the University of California, Riverside. He is the author (with Judith M. Tanur) of The Subjectivity of Scientists and the Bayesian Approach, also published by John Wiley & Sons, Inc., 2001.