Like the prize-winning first edition, this second edition ofPrinciples of Uncertainty is an accessible, comprehensive guide to the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. It presents a comprehensive guide to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features a new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems. Key Features:First edition won the 2011 DeGroot PrizeWell-written and comprehensive introduction to theory of Bayesian statisticsEach of the introductory chapters begins by introducing one new concept or assumptionUses "just-in-time mathematics"-the introduction to mathematical ideas just before they are applied | Principles Of Uncertainty by Joseph B. Kadane, Hardcover | Indigo Chapters