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A Distributionally Robust Estimator that Dominates the Empirical Average

Dionysis Kalogerias
Abstract

We leverage the duality between risk-averse and distributionally robust optimization (DRO) to devise a distributionally robust estimator that strictly outperforms the empirical average for all probability measures having triple squared variance greater than the central fourth-order moment.

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