Principles of Uncertainty, Second Edition

2nd Edition

Joseph B. Kadane

Chapman and Hall/CRC
August 30, 2020 Forthcoming
Textbook - 512 Pages - 28 B/W Illustrations
ISBN 9781138052734 - CAT# K33172
Series: Chapman & Hall/CRC Texts in Statistical Science

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Summary

Like the prize-winning first edition, this second edition of Principles 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 Prize
  • Well-written and comprehensive introduction to theory of Bayesian statistics
  • Each of the introductory chapters begins by introducing one new concept or assumption
  • Uses "just-in-time mathematics"—the introduction to mathematical ideas just before they are applied

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