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Statistical Decision Theory and Bayesian Analysis

By: Berger, James O.
Material type: materialTypeLabelBookSeries: Springer Series in Statistics. Publisher: Berlin et al., Springer, 2006Edition: 2nd ed.Description: 617 pages.ISBN: 0-387-96098-8.Subject(s): Bayesian analysis | decision theory | statistical methodOnline resources: Publisher's website Summary: In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
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Monography Library
C1 89 (Browse shelf) Available 102735

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.

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