Probabilistic techniques for random and time-varying dynamical systems / Méthodes probabilistes pour les systèmes dynamiques aléatoires et variant avec le temps

Collection Probabilistic techniques for random and time-varying dynamical systems / Méthodes probabilistes pour les systèmes dynamiques aléatoires et variant avec le temps

Organizer(s) Bahsoun, Wael ; Demers, Mark ; Nicol, Matthew ; Pène, Françoise ; Pollicott, Mark

Date(s) 03/10/2022 - 07/10/2022

linked URL https://conferences.cirm-math.fr/2601.html

00:00:00 / 00:00:00

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

By Florence Merlevède

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.

Information about the video

Date of recording 03/10/2022
Date of publication 02/11/2022
Institution CIRM
Licence CC BY NC ND
Language English
Audience Researchers, Graduate Students
Director(s) Luca Recanzone
Format MP4

Citation data

DOI 10.24350/CIRM.V.19964803
Cite this video Merlevède, Florence (03/10/2022). 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
URL https://dx.doi.org/10.24350/CIRM.V.19964803

Domain(s)

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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