Max-semistable extreme value laws for autoregressive processes with Cantor-like marginals

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1. Verfasser: Sterk, Alef E.
Format: Preprint
Veröffentlicht: 2024
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author Sterk, Alef E.
author_facet Sterk, Alef E.
contents This paper considers a family of autoregressive processes with marginal distributions resembling the Cantor function. It is shown that the marginal distribution is in the domain of attraction of a max-semistable distribution. The main result is that the extreme value law for the autoregressive process is obtained by including an extremal index in the law for an i.i.d.\ process with the same marginal distribution. Connections with extremes in deterministic dynamical systems and the relevance of max-semistable distributions in that context are also pointed out.
format Preprint
id arxiv_https___arxiv_org_abs_2408_17058
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Max-semistable extreme value laws for autoregressive processes with Cantor-like marginals
Sterk, Alef E.
Probability
Dynamical Systems
60G70, 60F99
This paper considers a family of autoregressive processes with marginal distributions resembling the Cantor function. It is shown that the marginal distribution is in the domain of attraction of a max-semistable distribution. The main result is that the extreme value law for the autoregressive process is obtained by including an extremal index in the law for an i.i.d.\ process with the same marginal distribution. Connections with extremes in deterministic dynamical systems and the relevance of max-semistable distributions in that context are also pointed out.
title Max-semistable extreme value laws for autoregressive processes with Cantor-like marginals
topic Probability
Dynamical Systems
60G70, 60F99
url https://arxiv.org/abs/2408.17058