Reconciling Bayesian and non-Bayesian analysis

被引：0

作者：

Wolpert, DH

机构：

来源：

MAXIMUM ENTROPY AND BAYESIAN METHODS - PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL WORKSHOP ON MAXIMUM ENTROPY AND BAYESIAN METHODS, SANTA BARBARA, CALIFORNIA, U.S.A., 1993 | 1996年 / 62卷

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D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper is an attempt to reconcile Bayesian and non-Bayesian approaches to statistical inference, by casting both in terms of a broader formalism. In particular, this paper is an attempt to show that when one extends conventional Bayesian analysis to distinguish the truth from one's guess for the truth, one gains a broader perspective which allows the inclusion of non-Bayesian formalisms. This perspective shows how it is possible for non-Bayesian techniques to perform well, despite their handicaps. It also highlights some difficulties with the ''degree of belief' interpretation of probability.

引用

页码：79 / 86

页数：8

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