Learning Functions and Approximate Bayesian Computation Design: ABCD
نویسندگان
چکیده
منابع مشابه
Learning Functions and Approximate Bayesian Computation Design: ABCD
A general approach to Bayesian learning revisits some classical results, which study which functionals on a prior distribution are expected to increase, in a preposterior sense. The results are applied to information functionals of the Shannon type and to a class of functionals based on expected distance. A close connection is made between the latter and a metric embedding theory due to Schoenb...
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ژورنال
عنوان ژورنال: Entropy
سال: 2014
ISSN: 1099-4300
DOI: 10.3390/e16084353