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- W90778853 abstract "The empirical Bayes approach to statistical decision theory is applicable when one is confronted repeatedly and independently with the same decision problem. In such instances it is reasonable to formulate the component problems in the sequence as Bayes decision problems with respect to a completely unknown prior distribution on the parameter space and then use the accumulated observations to improve the decision rule at each stage. This approach is due to H. Robbins [4] and is best presented in his paper [5]. We assume familiarity with [5]." @default.
- W90778853 created "2016-06-24" @default.
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- W90778853 date "1971-01-01" @default.
- W90778853 modified "2023-09-25" @default.
- W90778853 title "EMPIRICAL BAYES SLIPPAGE TESTS**This research was supported by the National Science Foundation Grant NSF Contract No. GP-9324 at the University of Wisconsin." @default.
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- W90778853 doi "https://doi.org/10.1016/b978-0-12-307550-5.50013-7" @default.
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