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A Central Limit Theorem for Wasserstein type distances between two different laws

Abstract

This article is dedicated to the estimation of Wasserstein distances and Wasserstein costs between two distinct continuous distributions FF and GG on R\mathbb R. The estimator is based on the order statistics of (possibly dependent) samples of FF resp. GG. We prove the consistency and the asymptotic normality of our estimators. \begin{it}Keywords:\end{it} Central Limit Theorems- Generelized Wasserstein distances- Empirical processes- Strong approximation- Dependent samples.

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