Journal
METRIKA
Volume 59, Issue 3, Pages 263-273Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s001840300283
Keywords
Fuzzy information; non-precise distributions; Bayes' theorem
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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.
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