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Statistical Decision Theory and Bayesian Analysis读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 618页 8.7 2020 Springer
定价 出版日期 最近访问 访问指数
USD 124.00 2020-02-20 … 2020-03-08 … 39
主题/类型/题材/标签
贝叶斯,机器学习,Statistics,概率论,数学,统计学习,统计,决策,
作者
James O. Berger      ISBN:9780387960982    原作名/别名:《》
内容和作者简介
Statistical Decision Theory and Bayesian Analysis摘要

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...

作者简介

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.

本书后续版本
未发行或暂未收录
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