Open Access
August 2017 Behavior of the Wasserstein distance between the empirical and the marginal distributions of stationary $\alpha$-dependent sequences
Jérôme Dedecker, Florence Merlevède
Bernoulli 23(3): 2083-2127 (August 2017). DOI: 10.3150/16-BEJ805

Abstract

We study the Wasserstein distance of order 1 between the empirical distribution and the marginal distribution of stationary $\alpha$-dependent sequences. We prove some moments inequalities of order $p$ for any $p\geq1$, and we give some conditions under which the central limit theorem holds. We apply our results to unbounded functions of expanding maps of the interval with a neutral fixed point at zero. The moment inequalities for the Wasserstein distance are similar to the well-known von Bahr–Esseen or Rosenthal bounds for partial sums, and seem to be new even in the case of independent and identically distributed random variables.

Citation

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Jérôme Dedecker. Florence Merlevède. "Behavior of the Wasserstein distance between the empirical and the marginal distributions of stationary $\alpha$-dependent sequences." Bernoulli 23 (3) 2083 - 2127, August 2017. https://doi.org/10.3150/16-BEJ805

Information

Received: 1 February 2015; Revised: 1 October 2015; Published: August 2017
First available in Project Euclid: 17 March 2017

zbMATH: 06714328
MathSciNet: MR3624887
Digital Object Identifier: 10.3150/16-BEJ805

Keywords: central limit theorem , empirical process , Intermittency , moments inequalities , Stationary sequences , Wasserstein distance

Rights: Copyright © 2017 Bernoulli Society for Mathematical Statistics and Probability

Vol.23 • No. 3 • August 2017
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