Invariance properties of limiting point processes and applications to clusters of extremes

Motivated by examples from extreme value theory, but without using the theory of regularly varying time series or any assumptions about the marginal distribution, we introduce the general notion of a cluster process as a limiting point process of returns of a certain event in a time series. We explo...

Full description

Bibliographic Details
Main Authors: Janßen Anja, Segers Johan
Format: Article
Language:English
Published: De Gruyter 2024-02-01
Series:Dependence Modeling
Subjects:
Online Access:https://doi.org/10.1515/demo-2023-0109
_version_ 1827353236705640448
author Janßen Anja
Segers Johan
author_facet Janßen Anja
Segers Johan
author_sort Janßen Anja
collection DOAJ
description Motivated by examples from extreme value theory, but without using the theory of regularly varying time series or any assumptions about the marginal distribution, we introduce the general notion of a cluster process as a limiting point process of returns of a certain event in a time series. We explore general invariance properties of cluster processes that are implied by stationarity of the underlying time series. Of particular interest in applications are the cluster size distributions, and we derive general properties and interconnections between the size of an inspected and a typical cluster. While the extremal index commonly used in extreme value theory is often interpreted as the inverse of a “mean cluster size”, we point out that this only holds true for the expected value of the typical cluster size, caused by an effect very similar to the inspection paradox in renewal theory.
first_indexed 2024-03-08T03:22:07Z
format Article
id doaj.art-f96dd0142c894ed29a22b1fb674d990b
institution Directory Open Access Journal
issn 2300-2298
language English
last_indexed 2024-03-08T03:22:07Z
publishDate 2024-02-01
publisher De Gruyter
record_format Article
series Dependence Modeling
spelling doaj.art-f96dd0142c894ed29a22b1fb674d990b2024-02-12T09:11:54ZengDe GruyterDependence Modeling2300-22982024-02-01121959710.1515/demo-2023-0109Invariance properties of limiting point processes and applications to clusters of extremesJanßen Anja0Segers Johan1Otto-von-Guericke University Magdeburg, FMA, 39106 Magdeburg, GermanyUCLouvain, LIDAM/ISBA, 1348Louvain-la-Neuve, BelgiumMotivated by examples from extreme value theory, but without using the theory of regularly varying time series or any assumptions about the marginal distribution, we introduce the general notion of a cluster process as a limiting point process of returns of a certain event in a time series. We explore general invariance properties of cluster processes that are implied by stationarity of the underlying time series. Of particular interest in applications are the cluster size distributions, and we derive general properties and interconnections between the size of an inspected and a typical cluster. While the extremal index commonly used in extreme value theory is often interpreted as the inverse of a “mean cluster size”, we point out that this only holds true for the expected value of the typical cluster size, caused by an effect very similar to the inspection paradox in renewal theory.https://doi.org/10.1515/demo-2023-0109extremal clustersextremal indexinspection paradoxpoint processesstationary time seriestime series extremes60g1060g70
spellingShingle Janßen Anja
Segers Johan
Invariance properties of limiting point processes and applications to clusters of extremes
Dependence Modeling
extremal clusters
extremal index
inspection paradox
point processes
stationary time series
time series extremes
60g10
60g70
title Invariance properties of limiting point processes and applications to clusters of extremes
title_full Invariance properties of limiting point processes and applications to clusters of extremes
title_fullStr Invariance properties of limiting point processes and applications to clusters of extremes
title_full_unstemmed Invariance properties of limiting point processes and applications to clusters of extremes
title_short Invariance properties of limiting point processes and applications to clusters of extremes
title_sort invariance properties of limiting point processes and applications to clusters of extremes
topic extremal clusters
extremal index
inspection paradox
point processes
stationary time series
time series extremes
60g10
60g70
url https://doi.org/10.1515/demo-2023-0109
work_keys_str_mv AT janßenanja invariancepropertiesoflimitingpointprocessesandapplicationstoclustersofextremes
AT segersjohan invariancepropertiesoflimitingpointprocessesandapplicationstoclustersofextremes