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- W3021837248 abstract "This chapter discusses the Bayes estimation. The Bayesian approach to statistical problems in the parametric framework has been thoroughly explored. It is known that the mixed Bayes-minimax rule d k can be thought of as an approximation to the Bayes rule in the sense of convergence of the Bayes risks. Therefore, if the Bayes rule is difficult to compute in a particular problem, the mixed Bayes-minimax rule can be used as an approximation. To study the Bayes solution, a prior distribution has to be specified on the space of distribution functions, and to obtain the mixed Bayes-minimax solutions, a distribution has to be specified for the random distribution function F k that is linear between the points." @default.
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- W3021837248 date "1983-01-01" @default.
- W3021837248 modified "2023-09-25" @default.
- W3021837248 title "Bayes Estimation" @default.
- W3021837248 doi "https://doi.org/10.1016/b978-0-12-564020-6.50016-5" @default.
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