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

Reinhard Viertl and Dietmar Hareter

Metrika: International Journal for Theoretical and Applied Statistics, 2004, vol. 59, issue 3, 263-273

Abstract: 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

Keywords: Fuzzy information; non-precise distributions; Bayes’ theorem (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:metrik:v:59:y:2004:i:3:p:263-273

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DOI: 10.1007/s001840300283

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