Characterization of Proper and Strictly Proper Scoring Rules for Quantiles

Abstract

We give necessary and sufficient conditions for a scoring rule to be proper for a quantile if utility is linear, and the distribution is unrestricted. We also give results when the set of distributions is limited, for example, to distributions that have first moments.

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2015-09-23

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Teddy Seidenfeld
Carnegie Mellon University

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