Statistical Rethinking: A Bayesian Course with Examples in R and STAN (2nd Ed.)

被引：1

作者：

Kelter, Riko ^{[1
]}

机构：

[1] Univ Siegen, Dept Math, Siegen, Germany

来源：

MEASUREMENT-INTERDISCIPLINARY RESEARCH AND PERSPECTIVES | 2020年 / 18卷 / 04期

关键词：

Statistical inference; Bayesian statistics; causal inference; measurement modeling; R; Stan;

D O I：

10.1080/15366367.2020.1742561

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

In this book review, I offer a chapter-by-chapter recension and general comments about Richard McElreath's second edition of Statistical Rethinking: A Bayesian Course with Examples in R and STAN. Two examples of linear regression modeling and the generalized linear model with the book's own R package rethinking highlight the flexibility and usefulness of considering the Bayesian approach to statistical modeling advertised by McElreath.

引用

页码：242 / 250

页数：9