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Nonparametric Inference Based on Expected Order Statistics
In many statistical procedures, such as smoothing, resampling, or privacy-preserving release, it is convenient to transform the empirical distribution according to the task. We introduce an averaging transformation that assigns equal mass to $m$ estimated expected order statistics, where $m$ acts as
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