A quenched weak invariance principle
Dedecker, Jérôme ; Merlevède, Florence ; Peligrad, Magda
Annales de l'I.H.P. Probabilités et statistiques, Tome 50 (2014), p. 872-898 / Harvested from Numdam
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Dans cet article, nous étudions le théorème central limite conditionnel presque sûr, ainsi que sa forme fonctionnelle, pour des suites stationnaires de variables aléatoires réelles satisfaisant une condition de type projectif. Nous donnons des applications de ces résultats aux processus fortement mélangeants ainsi qu'à des chaînes de Markov nonirréductibles. Les preuves sont essentiellement basées sur une approximation normale de suites doublement indexées de variables aléatoires de type martingale.

In this paper we study the almost sure conditional central limit theorem in its functional form for a class of random variables satisfying a projective criterion. Applications to strongly mixing processes and nonirreducible Markov chains are given. The proofs are based on the normal approximation of double indexed martingale-like sequences, an approach which has interest in itself.

Publié le : 2014-01-01
DOI : https://doi.org/10.1214/13-AIHP553
Classification:  60F05,  60F17,  60J05 
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     title = {A quenched weak invariance principle},
     journal = {Annales de l'I.H.P. Probabilit\'es et statistiques},
     volume = {50},
     year = {2014},
     pages = {872-898},
     doi = {10.1214/13-AIHP553},
     mrnumber = {3224292},
     zbl = {1304.60031},
     language = {en},
     url = {http://dml.mathdoc.fr/item/AIHPB_2014__50_3_872_0}
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Dedecker, Jérôme; Merlevède, Florence; Peligrad, Magda. A quenched weak invariance principle. Annales de l'I.H.P. Probabilités et statistiques, Tome 50 (2014) pp. 872-898. doi : 10.1214/13-AIHP553. http://gdmltest.u-ga.fr/item/AIHPB_2014__50_3_872_0/

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