Extremal t processes: Elliptical domain of attraction and a spectral representation

被引:93
作者
Opitz, T. [1 ]
机构
[1] Univ Montpellier 2, I3M CC51, F-34095 Montpellier 5, France
关键词
Elliptical distribution; Extremal t process; Max-stable process; Spectral construction; MULTIVARIATE; DEPENDENCE; FIELDS; MODELS;
D O I
10.1016/j.jmva.2013.08.008
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The extremal t process was proposed in the literature for modeling spatial extremes within a copula framework based on the extreme value limit of elliptical t distributions (Davison et al. (2012)[5]). A major drawback of this max-stable model was the lack of a spectral representation such that for instance direct simulation was infeasible. The main contribution of this note is to propose such a spectral construction for the extremal t process. Interestingly, the extremal Gaussian process introduced by Schlather (2002) [22] appears as a special case. We further highlight the role of the extremal t process as the maximum attractor for processes with finite-dimensional elliptical distributions. All results naturally also hold within the multivariate domain. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:409 / 413
页数:5
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