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Abstract:
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The Rao-Blackwell theorem says that an estimator can be improved by conditioning on a sufficient statistic. In this talk, I examine a nonparametric version of the Rao-Blackwell theorem. I show how it can be used to improve estimators derived from data splitting, which are selectively valid but suboptimal (since they do not make use of all of the data).
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