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Author(s): Ana Cristina Moreira Freitas
Jorge Milhazes Freitas
Vaienti, S
Title: Extreme Value Laws for non stationary processes generated by sequential and random dynamical systems
Issue Date: 2017
Abstract: We develop and generalise the theory of extreme value for non-stationary stochastic processes, mostly by weakening the uniform mixing condition that was previously used in this setting.We apply our results to non-autonomous dynamical systems, in particular to sequential dynamical systems, given by uniformly expanding maps, and to a few classes of random dynamical systems. Some examples are presented and worked out in detail. (c) Association des Publications de l'Institut Henri Poincaré, 2017.
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:FCUP - Artigo em Revista Científica Internacional
FEP - Artigo em Revista Científica Internacional

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