On Fuzzy Bayesian Inference

Sylvia Frühwirth-Schnatter

doi:10.57938/98506827-d124-4ed2-98d1-ef31d87ccf41

On Fuzzy Bayesian Inference

Sylvia Frühwirth-Schnatter

Institute for Statistics and Mathematics

Publication: Working/Discussion Paper › WU Working Paper

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Abstract

In the paper at hand we apply it to Bayesian statistics to obtain "Fuzzy Bayesian Inference". In the subsequent sections we will discuss a fuzzy valued likelihood function, Bayes' theorem for both fuzzy data and fuzzy priors, a fuzzy Bayes' estimator, fuzzy predictive densities and distributions, and fuzzy H.P.D .-Regions. (author's abstract)

Original language	English
Place of Publication	Vienna
Publisher	Department of Statistics and Mathematics, WU Vienna University of Economics and Business
DOIs	https://doi.org/10.57938/98506827-d124-4ed2-98d1-ef31d87ccf41
Publication status	Published - 1990

Publication series

Series	Forschungsberichte / Institut für Statistik
Number	17

WU Working Paper Series

Forschungsberichte / Institut für Statistik

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10.57938/98506827-d124-4ed2-98d1-ef31d87ccf41Licence: Unspecified

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University Library Catalogue

1 Journal article

On fuzzy Bayesian inference
Frühwirth-Schnatter, S., 1 May 1993, In: Fuzzy Sets and Systems. 60, p. 41 - 58
Publication: Scientific journal › Journal article › peer-review

Cite this

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AB - In the paper at hand we apply it to Bayesian statistics to obtain "Fuzzy Bayesian Inference". In the subsequent sections we will discuss a fuzzy valued likelihood function, Bayes' theorem for both fuzzy data and fuzzy priors, a fuzzy Bayes' estimator, fuzzy predictive densities and distributions, and fuzzy H.P.D .-Regions. (author's abstract)

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On Fuzzy Bayesian Inference

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On fuzzy Bayesian inference

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