Statistical Decision Theory and Bayesian Analysis

James O. Berger

文学

贝叶斯 机器学习 Statistics 概率论 数学 统计学习 人工智能 统计

1993-3-25

Springer

内容简介
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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