期刊
METRIKA
卷 59, 期 3, 页码 263-273出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s001840300283
关键词
Fuzzy information; non-precise distributions; Bayes' theorem
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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