Behavior of the Wasserstein distance between the empirical and the marginal distributions of stationary $\alpha$-dependent sequences
Author(s) -
Jérôme Dedecker,
Florence Merlevède
Publication year - 2017
Publication title -
bernoulli
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.814
H-Index - 72
eISSN - 1573-9759
pISSN - 1350-7265
DOI - 10.3150/16-bej805
Subject(s) - mathematics , independent and identically distributed random variables , central limit theorem , moment (physics) , marginal distribution , random variable , empirical distribution function , limit (mathematics) , order (exchange) , distribution (mathematics) , alpha (finance) , zero (linguistics) , interval (graph theory) , mathematical analysis , combinatorics , statistics , construct validity , psychometrics , physics , linguistics , philosophy , finance , classical mechanics , economics
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 $\ge$ 1, 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.
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