Hoeffding-Sobol decomposition of homogeneous co-survival functions: from Choquet representation to extreme value theory application

被引:1
|
作者
Mercadier, Cecile [1 ]
Ressel, Paul [2 ]
机构
[1] Univ Lyon, Univ Claude Bernard Lyon 1, Inst Camille Jordan, UMR CNRS 5208, 43 Blvd 11 Novembre 1918, F-69622 Villeurbanne, France
[2] Kath Univ Eichstatt Ingolstadt, Ostenstr 26-28, D-85072 Eichstatt, Germany
来源
DEPENDENCE MODELING | 2021年 / 9卷 / 01期
关键词
Hoeffding-Sobol decomposition; co-survival function; spectral representation; stable tail dependence function; multivariate extreme value modeling; CLASSICAL MEAN-VALUES; MULTIVARIATE;
D O I
10.1515/demo-2021-0108
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 paper investigates the Hoeffding-Sobol decomposition of homogeneous co-survival functions. For this class, the Choquet representation is transferred to the terms of the functional decomposition, and in addition to their individual variances, or to the superset combinations of those. The domain of integration in the resulting formulae is reduced in comparison with the already known expressions. When the function under study is the stable tail dependence function of a random vector, ranking these superset indices corresponds to clustering the components of the random vector with respect to their asymptotic dependence. Their Choquet representation is the main ingredient in deriving a sharp upper bound for the quantities involved in the tail dependograph, a graph in extreme value theory that summarizes asymptotic dependence.
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页码:179 / 198
页数:20
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