Bayesian Variable Selection

被引：1
|
作者：
Sutton, Matthew [1 ]
机构：
[1] Queensland Univ Technol, Brisbane, Qld, Australia
来源：
CASE STUDIES IN APPLIED BAYESIAN DATA SCIENCE: CIRM JEAN-MORLET CHAIR, FALL 2018 | 2020年 / 2259卷
基金：
澳大利亚研究理事会;
关键词：
STOCHASTIC SEARCH; MONTE-CARLO; REGRESSION; SHRINKAGE; ESTIMATOR; INFERENCE; MODELS; PRIORS; SPIKE;
D O I：
10.1007/978-3-030-42553-1_5
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this chapter we survey Bayesian approaches for variable selection and model choice in regression models. We explore the methodological developments and computational approaches for these methods. In conclusion we note the available software for their implementation.
引用
收藏
页码：121 / 135
页数：15
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