A Polemic for Bayesian Statistics
A Polemic for Bayesian Statistics
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贝叶斯统计之争
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
R. Neapolitan
中科院分区：
文献类型：
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作者：
R. Neapolitan
在20世纪早期，当前统计方法的鼻祖主要是贝叶斯学派。然而，到了20世纪30年代中期，贝叶斯方法不受许多人的青睐，而频率统计开始流行起来。七十年后，频率论方法继续占据主导地位。我在这里的目的是比较贝叶斯方法和频率方法。我认为贝叶斯统计的理由如下：1)贝叶斯方法解决了更广泛的问题；2)有时很难解释频率结果。
In the early part of the 20th century, forefathers of current statistical methodology were largely Bayesians. However, by the mid-1930’s the Bayesian method fell into disfavor for many, and frequentist statistics became popular. Seventy years later the frequentist method continues to dominate. My purpose here is to compare the Bayesian and frequentist approaches. I argue for Bayesian statistics claiming the following: 1) Bayesian methods solve a wider variety of problems; and 2) It is sometimes difficult to interpret frequentist results.