Generalized Bayes’ theorem for non-precise a-priori distribution

A-priori knowledge in form of one exact probability distribution on the parameter space is questionable. For more general forms of a-priori information so-called non-precise a-priori densities are a suitable quantitative description. This kind of a-priori information can be used in a generalized version of Bayes’ theorem. Copyright Springer-Verlag 2004

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Year of publication:	2004
Authors:	Viertl, Reinhard ; Hareter, Dietmar
Published in:	Metrika. - Springer. - Vol. 59.2004, 3, p. 263-273
Publisher:	Springer
Subject:	Fuzzy information \| non-precise distributions \| Bayes’ theorem

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

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