IMPRECISE CONJUGATE PRIOR DENSITIES FOR THE ONE-PARAMETER EXPONENTIAL FAMILY OF DISTRIBUTIONS

被引：9

作者：

COOLEN, FPA ^{[1
]}

机构：

[1] EINDHOVEN UNIV TECHNOL,DEPT MATH & COMP SCI,5600 MB EINDHOVEN,NETHERLANDS

来源：

STATISTICS & PROBABILITY LETTERS | 1993年 / 16卷 / 05期

关键词：

BAYESIAN THEORY; IMPRECISE PROBABILITIES; CONJUGATE PRIORS; ONE-PARAMETER EXPONENTIAL FAMILY OF DISTRIBUTIONS;

D O I：

10.1016/0167-7152(93)90066-R

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Reconsidering generalizations of the original Bayesian framework that have been suggested during the last three decades, imprecise conjugate prior densities are porposed for members of the one-parameter exponential family of distributions.

引用

页码：337 / 342

页数：6

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