Bayesian Data Analysis, Third Edition读书介绍
类别 | 页数 | 译者 | 网友评分 | 年代 | 出版社 |
---|---|---|---|---|---|
书籍 | 675页 | 8.8 | 2020 | Chapman and Hall/CRC |
定价 | 出版日期 | 最近访问 | 访问指数 |
---|---|---|---|
USD 74.95 | 2020-02-20 … | 2020-03-03 … | 2 |
主题/类型/题材/标签
Bayesian,贝叶斯,统计学,Statistics,统计,数据分析,机器学习,数学,
作者
Andrew Gelman ISBN:9781439840955 原作名/别名:《》
内容和作者简介
Bayesian Data Analysis, Third Edition摘要
This third edition of a classic textbook presents a comprehensive introduction to Bayesian data analysis. Written for students and researchers alike, the text is written in an easily accessible manner with chapters that contain many exercises as well as detailed worked examples taken from various disciplines. This third edition provides two new chapters on Bayesian nonparametrics and covers computation systems BUGS and R. It also offers enhanced computing advice. The book's website includes solutions to the problems, data sets, software advice, and other ancillary material.
作者简介Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, David B. Dunson
本书后续版本
未发行或暂未收录
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