The calibration of P-values, posterior Bayes factors and the AIC from the posterior distribution of the likelihood

被引:20
作者
Aitkin, M [1 ]
机构
[1] UNIV NEWCASTLE,DEPT STAT,NEWCASTLE TYNE NE1 7RU,TYNE & WEAR,ENGLAND
关键词
P-value; likelihood; posterior distribution; Bayes factor; fractional Bayes factor; posterior Bayes factor; AIC;
D O I
10.1023/A:1018550505678
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The posterior distribution of the likelihood is used to interpret the evidential meaning of P-values, posterior Bayes factors and Akaike's information criterion when comparing point null hypotheses with composite alternatives. Asymptotic arguments lead to simple re-calibrations of these criteria in terms of posterior tail probabilities of the likelihood ratio. (`Prior') Bayes factors cannot be calibrated in this way as they are model-specific.
引用
收藏
页码:253 / 261
页数:9
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