Subjective and Objective Bayesian Statistics: Principles, Models, and Applications, 2nd ed. (Wiley Series in Probability and 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.