Implicit max-stable extremal integrals

被引:1
|
作者
Kremer, D. [1 ]
机构
[1] Univ Siegen, Dept Math, D-57068 Siegen, Germany
关键词
Implicit max-stable distributions; Independently scattered random sup-measures; Stochastic integrals; Implicit max-stable processes; PEAKS;
D O I
10.1007/s10687-020-00388-x
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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 alpha-Frechet 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.
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页码:1 / 35
页数:35
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