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Feb, 2019
一种Wasserstein距离方法用于聚集实证风险估计
Improved Concentration Bounds for Conditional Value-at-Risk and Cumulative Prospect Theory using Wasserstein distance
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Sanjay P. Bhat, Prashanth L. A
TL;DR
本文介绍了一种基于Wasserstein距离的统一方法,用于两类广泛定义的风险度量的经验估计的集中界限,其中提出的风险度量类包括CVaR、谱风险度量、CPT值、偏差风险度量等。
Abstract
Known finite-sample
concentration bounds
for the
wasserstein distance
between the empirical and true distribution of a random variable are used to derive a two-sided concentration bound for the error between the
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