Name: Statistical Rethinking
ISBN: 9781482253443

作者: Richard McElreath
出版社: Chapman and Hall/CRC
副标题: A Bayesian Course with Examples in R and Stan
出版年: 2015-12
页数: 469
定价: USD 89.95
装帧: Hardcover
丛书: Texts in Statistical Science
ISBN: 9781482253443

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内容简介 · · · · · ·

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand eno...

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作者简介 · · · · · ·

Richard McElreath is the director of the Department of Human Behavior, Ecology, and Culture at the Max Planck Institute for Evolutionary Anthropology. He is also a professor in the Department of Anthropology at the University of California, Davis. His work lies at the intersection of evolutionary and cultural anthropology, specifically how the evolution of fancy social learning...

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目录 · · · · · ·

Preface
Chapter 1: The Golem of Prague
Chapter 2: Small Worlds and Large Worlds
Chapter 3: Sampling the Imaginary
Chapter 4: Linear Models
Chapter 5: Multivariate Linear Models
· · · · · · (更多)

丛书信息 · · · · · ·

　　Texts in Statistical Science(共72册)，这套丛书还有《Randomization and Monte Carlo Method (Chapman & Hall Texts in Statistical Science)》《Generalized Linear Mixed Models》《Applied Stochastic Modelling》《Introduction to Probability with R》《Bayesian Modeling and Computation in Python》等。

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Statistical Rethinking的书评 · · · · · · ( 全部 2 条 )

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find_my_way 2017-05-09 20:19:00

Statistical Rethinking 读书笔记

http://www.tianjun.me/essays/119 https://pan.baidu.com/s/1skZIvu9 【作者的视频】最近这个月断断续续读完了Statistical Rethinking一书，感觉这本书还是挺适合入门的。作者的文风很好，每一章开头都会引入一个有意思的例子方便读者对本章的内容有一个大概的理解，不过书中... (展开)

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Amadeus 2024-03-18 03:09:09 Chapman and Hall/CRC2020版

Statistical Rethinking读书会（下）：小世界模型的因果推断

这篇书评可能有关键情节透露

身体状态不佳，拖到三月才终于精读完了Rethinking的后半部（Chapter 10 - 17）。后半部从最大熵原理出发，构建广义线性模型（Generalized Linear Model, GLM）。接着，12章节为解决GLM的统计推断问题，比如over-dispersion, zero-inflated outcome，引入混合模型（mixture mode... (展开)

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