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Rates of convergence in the CLT for non stationary sequences and application to sequential dynamical systems

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Authors : Merlevède, Florence (Author of the conference)
CIRM (Publisher )

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Abstract : This talk is devoted to rates of convergence for minimal distances and for the uniform distance, between the law of partial sums associated with non necessarily stationary sequences and the limiting Gaussian distribution. Applications to linear statistics, non stationary rho-mixing sequences and sequential dynamical systems will be provided. This is a joint work with J. Dedecker and E. Rio.

Keywords : minimal distances; ideal distances; Gaussian approximation; Berry-Esseen type inequalities; martingales; ρ-mixing sequences; sequential dynamical systems

MSC Codes :
60F05 - Central limit and other weak theorems
60G42 - Martingales with discrete parameter
60G48 - Generalizations of martingales

    Information on the Video

    Film maker : Recanzone, Luca
    Language : English
    Available date : 02/11/2022
    Conference Date : 03/10/2022
    Subseries : Research talks
    arXiv category : Dynamical Systems ; Probability
    Mathematical Area(s) : Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 00:53:38
    Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students
    Download : https://videos.cirm-math.fr/2022-10-03_Merlevede.mp4

Information on the Event

Event Title : Probabilistic techniques for random and time-varying dynamical systems / Méthodes probabilistes pour les systèmes dynamiques aléatoires et variant avec le temps
Event Organizers : Bahsoun, Wael ; Demers, Mark ; Nicol, Matthew ; Pène, Françoise ; Pollicott, Mark
Dates : 03/10/2022 - 07/10/2022
Event Year : 2022
Event URL : https://conferences.cirm-math.fr/2601.html

Citation Data

DOI : 10.24350/CIRM.V.19964803
Cite this video as: Merlevède, Florence (2022). Rates of convergence in the CLT for non stationary sequences and application to sequential dynamical systems. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19964803
URI : http://dx.doi.org/10.24350/CIRM.V.19964803

See Also

Bibliography

  • DEDECKER, Jérôme, MERLEVÈDE, Florence, et RIO, Emmanuel. Rates of convergence in the central limit theorem for martingales in the non stationary setting. In : Annales de l'Institut Henri Poincaré, Probabilités et Statistiques. Institut Henri Poincaré, 2022. p. 945-966. - http://dx.doi.org/10.1214/21-AIHP1182



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