统计决策理论和贝叶斯分析在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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James O.Berger 作者

世界图书出版公司

译者

2004-11 出版日期

617 页数

88.00元价格

简裝本

Springer Series in Statistics 影印版丛书系列

9787506271813 图书编码

统计决策理论和贝叶斯分析在线电子书图书标签: 统计学数学 Bayesian 统计学习贝叶斯决策 statistics 机器学习

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The relationships （both conceptual and mathematical） between Bayesian analysis and statistical decision theory are so strong that it is somewhat unnatural to learn one without the other. Nevertheless, major portions of each have developed separately. On the Bayesian side, there is an extensively developed Bayesian theory of statistical inference （both subjective and objective versions）. This theory recognizes the importance of viewing statistical analysis conditionally （i.e., treating observed data as known rather than unknown）, even when no loss function is to be incorporated into the analysis. There is also a well-developed （frequentist） decision theory, which avoids formal utilization of prior distributions and seeks to provide a foundation for frequentist statistical theory. Although the central thread of the book will be Bayesian decision theory, both Bayesian inference and non-Bayesian decision theory will be extensively discussed. Indeed, the book is written so as to allow, say, the teaching of a course on either subject separately.

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摘自Amazon This book (which is becoming somewhat of a classic) is simply outstanding. The author's philosophical and mathematical reasoning is impeccable. This book is very deep and will not just teach you theory and techniques but will teach you how to thi...

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比如这些概念： Bayesian decision theory, Bayesian analysis, decision theory, non-bayesian decision theory区别是什么? decision rule vs action Bayesian expected loss vs Bayes risk vs frequentist risk vs risk function of a decision rule Bayes action vs Bay...

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