文章基本信息

标题：On the Relevance of the Bayesian Approach to Statistics
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作者：Christian P. Robert
期刊名称：Mutis
印刷版ISSN：2256-1498
出版年度：2010
卷号：2
期号：2
页码：139-152
出版社：Universidad Jorge Tadeo Lozano
摘要：In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neutral and agnostic manner. My main theme is that Bayesian data analysis is an effective tool for handling complex models, as proven by the increasing proportion of Bayesian studies in the applied sciences. I thus disregard the philosophical debates on the meaning of probability and on the random nature of parameters as things of the past that ultimately do a disservice to the approach and are irrelevant to most bystanders.
关键词：Bayesian inference;Bayes model choice;foundations;testing;non-informative prior;Bayes factor;computational statistics