* 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.
S. James Press
Bayesian Analysis Bayessches Verfahren Bayes-Verfahren Statistics Statistik
"...written in a clear, accessible manner...an enjoyableread and a comprehensive introduction to Bayesian theory andmethods." (Journal of the American Statistical Association,March 2005)
"The book is well written. It should continue the success of thefirst edition and become the main reference book in thefield." (Interfaces, March-April 2004)
"...among several books I have reviewed, this is one of thebest. I very strongly recommend this book to statisticians andapplied researchers." (Journal of Statistical Computation &Simulation, March 2004)
"...a welcome addition to the library of any practicingstatistician, not only as a thorough and readable text on Bayesianstatistics, but also as a rich source of reference material forunderstanding the historical development of the subject."(Technometrics, Vol. 45, No. 4, November 2003)
"...a second edition...but really a new book, not merelythe first edition with a few changes inserted...a completelyrestructured book with major new chapters and material..."(Quarterly of Applied Mathematics, Vol. LXI, No. 2, June2003)
"...this second edition is a completely restructured book withmajor new chapters and material..." (Zentralblatt Math,2003)
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