Worst-Case Analysis for Randomly Collected Data

作者: Justin Chen, Gregory Valiant, Paul Valiant

摘要

We introduce a framework for statistical estimation that leverages knowledge of how samples are collected but makes no distributional assumptions on the data values. Specifically, we consider a population of elements [n]={1,...,n} with corresponding data values x

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