On mean central limit theorems for stationary sequences
Annales de l'I.H.P. Probabilités et statistiques, Tome 44 (2008) no. 4, pp. 693-726.

Dans cet article, nous donnons des majorations de la distance minimale 𝕃1 entre la loi de la somme normalisée et sa loi limite gaussienne pour des suites stationnaires satisfaisant des critères projectifs à la Gordin ou des conditions de dépendance faible.

In this paper, we give estimates of the minimal 𝕃1 distance between the distribution of the normalized partial sum and the limiting gaussian distribution for stationary sequences satisfying projective criteria in the style of Gordin or weak dependence conditions.

DOI : 10.1214/07-AIHP117
Classification : 60F05
Mots-clés : mean central limit theorem, Wasserstein distance, minimal distance, martingale difference sequences, strong mixing, stationary sequences, weak dependence, rates of convergence, projective criteria 
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Dedecker, Jérôme; Rio, Emmanuel. On mean central limit theorems for stationary sequences. Annales de l'I.H.P. Probabilités et statistiques, Tome 44 (2008) no. 4, pp. 693-726. doi : 10.1214/07-AIHP117. https://www.numdam.org/articles/10.1214/07-AIHP117/

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