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- W1998487191 abstract "The term “Bayesification” is introduced as meaning the adoption of criteria, that keep the Bayes type of solution as far as the knowledge of the probability distribution over the states of nature extends. A general decision model in Wald's sense is developed, Bayes and minimax solution are defined and reasons are given for the Bayesification. Neither the Bayes nor the minimax criterion per se allow Bayesification. In order to get a Bayesification in the above sense the Bayes type of solution is extended to a certain combination of Bayes and minimax type of solution. This extension is generalized in order to provide a mechanism that allows the decision maker to incorporate into the decision criterion any a priori information available. It is shown that special cases of the generalized criterion are Bayes solution, minimax solution, and a solution analogous to that ofHodges andLehmann. Another special case of the generalized criterion is shown as a special case of a criterion proposed bySchneeweiss." @default.
- W1998487191 created "2016-06-24" @default.
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- W1998487191 date "1966-06-01" @default.
- W1998487191 modified "2023-09-24" @default.
- W1998487191 title "On the „bayesification“ of the minimax principle" @default.
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- W1998487191 doi "https://doi.org/10.1007/bf01951377" @default.
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