Multivariate extreme values for dynamical systems

Fuente: arXiv
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Hauptverfasser: Aimino, Romain, Freitas, Ana Cristina Moreira, Freitas, Jorge Milhazes, Todd, Mike
Format: Preprint
Veröffentlicht: 2024
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_version_ 1866912829544595456
author Aimino, Romain
Freitas, Ana Cristina Moreira
Freitas, Jorge Milhazes
Todd, Mike
author_facet Aimino, Romain
Freitas, Ana Cristina Moreira
Freitas, Jorge Milhazes
Todd, Mike
contents We establish a theory for multivariate extreme value analysis of dynamical systems. Namely, we provide conditions adapted to the dynamical setting which enable the study of dependence between extreme values of the components of $\R^d$-valued observables evaluated along the orbits of the systems. We study this cross-sectional dependence, which results from the combination of a spatial and a temporal dependence structures. We give several illustrative applications, where concrete systems and dependence sources are introduced and analysed.
format Preprint
id arxiv_https___arxiv_org_abs_2406_14807
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multivariate extreme values for dynamical systems
Aimino, Romain
Freitas, Ana Cristina Moreira
Freitas, Jorge Milhazes
Todd, Mike
Dynamical Systems
Probability
37A50, 37A25, 37B20, 60G70, 62H05
We establish a theory for multivariate extreme value analysis of dynamical systems. Namely, we provide conditions adapted to the dynamical setting which enable the study of dependence between extreme values of the components of $\R^d$-valued observables evaluated along the orbits of the systems. We study this cross-sectional dependence, which results from the combination of a spatial and a temporal dependence structures. We give several illustrative applications, where concrete systems and dependence sources are introduced and analysed.
title Multivariate extreme values for dynamical systems
topic Dynamical Systems
Probability
37A50, 37A25, 37B20, 60G70, 62H05
url https://arxiv.org/abs/2406.14807