Behavior of the Wasserstein distance between the empirical and the marginal distributions of stationary α-dependent sequences

被引:12
作者
Dedecker, Jerome [1 ,2 ]
Merlevede, Florence [3 ,4 ]
机构
[1] Univ Paris 05, Sorbonne Paris Cite, Lab MAPS, Paris, France
[2] Univ Paris 05, Sorbonne Paris Cite, CNRS UMR 8145, Paris, France
[3] Univ Paris Est, UPEM, UPEC, LAMA, Champs Sur Marne, France
[4] Univ Paris Est, CNRS UMR 8050, Champs Sur Marne, France
关键词
central limit theorem; empirical process; intermittency; moments inequalities; stationary sequences; Wasserstein distance; CENTRAL-LIMIT-THEOREM; INTERMITTENT MAPS; MARKOV-CHAINS; MOMENT; INEQUALITIES; VARIABLES; SUMS;
D O I
10.3150/16-BEJ805
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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 >= 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.
引用
收藏
页码:2083 / 2127
页数:45
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