The Assessment of Prior Distributions in Bayesian Analysis
作者:
RobertL. Winkler,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1967)
卷期:
Volume 62,
issue 319
页码: 776-800
ISSN:0162-1459
年代: 1967
DOI:10.1080/01621459.1967.10500894
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
In the Bayesian framework, quantified judgments about uncertainty are an indispensable input to methods of statistical inference and decision. Ultimately, all components of the formal mathematical models underlying inferential procedures represent quantified judgments. In this study, the focus is on just one component, the prior distribution, and on some of the problems of assessment that arise when a person tries to express prior distributions in quantitative form. The objective is to point toward assessment procedures that can actually be used.
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