Implicit max-stable extremal integrals
Recently, the notion of implicit extreme value distributions has been established, which is based on a given loss function f ≥ 0. From an application point of view, one is rather interested in extreme loss events that occur relative to f than in the corresponding extreme values itself. In this conte...
Gespeichert in:
Veröffentlicht in: | Extremes (Boston) 2021-03, Vol.24 (1), p.1-35 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Recently, the notion of implicit extreme value distributions has been established, which is based on a given loss function
f
≥ 0. From an application point of view, one is rather interested in extreme loss events that occur relative to
f
than in the corresponding extreme values itself. In this context, so-called
f
-implicit
α
-Fréchet max-stable distributions arise and have been used to construct independently scattered sup-measures that possess such margins. In this paper we solve an open problem in Goldbach (
2016
) by developing a stochastic integral of a deterministic function
g
≥ 0 with respect to implicit max-stable sup-measures. The resulting theory covers the construction of max-stable extremal integrals (see Stoev and Taqqu Extremes
8
, 237–266 (
2005
)) and, at the same time, reveals striking parallels. |
---|---|
ISSN: | 1386-1999 1572-915X |
DOI: | 10.1007/s10687-020-00388-x |