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arxiv: 1710.09763 · v2 · pith:IFCZO6QJnew · submitted 2017-10-26 · 🧮 math.ST · stat.TH

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

classification 🧮 math.ST stat.TH
keywords wassersteincentraldependentdistanceslimitsamplesapproximation-article
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This article is dedicated to the estimation of Wasserstein distances and Wasserstein costs between two distinct continuous distributions $F$ and $G$ on $\mathbb R$. The estimator is based on the order statistics of (possibly dependent) samples of $F$ resp. $G$. 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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