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Subjective and Objective Bayesian Statistics: Principles, Models, and Applications
* 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 to
* Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.
* Includes to
592 pages, Kindle Edition
First published January 1, 2002
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