Reference priors with partial information

被引:78
作者
Sun, D [1 ]
Berger, JO
机构
[1] Univ Missouri, Dept Stat, Columbia, MO 65211 USA
[2] Duke Univ, Inst Stat & Decis Sci, Durham, NC 27708 USA
关键词
beta distribution; gamma distribution; Kullback-Leibler divergence; Neyman-Scott problem; noninformative prior; normal distribution;
D O I
10.1093/biomet/85.1.55
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, reference priors are derived for three cases where partial information is available. If a subjective conditional prior is given, two reasonable methods are proposed for finding the marginal reference prior. If, instead, a subjective marginal prior is available, a method for defining the conditional reference prior is proposed. A sufficient condition is then given under which this conditional reference prior agrees with the conditional reference prior derived in the first stage of the reference prior algorithm of Berger & Bernardo (1989, 1992). Finally, under the assumption of independence, a method for finding marginal reference priors is also proposed. Various examples are given to illustrate the methods.
引用
收藏
页码:55 / 71
页数:17
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