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

IF 0.6 Q4 STATISTICS & PROBABILITY
Cécile Mercadier, P. Ressel
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引用次数: 1

Abstract

Abstract 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.
齐次共生存函数的Hoeffding-Sobol分解:从Choquet表示到极值理论的应用
摘要本文研究了齐次共生存函数的Hoeffding–Sobol分解。对于这个类,Choquet表示被转移到函数分解的项,以及它们各自的方差,或者转移到它们的超集组合。与已知的表达式相比,所得公式中的积分域减小了。当所研究的函数是随机向量的稳定尾部依赖函数时,对这些超集指数进行排序对应于根据其渐近依赖性对随机向量的分量进行聚类。他们的Choquet表示是推导尾部依赖图中所涉及的量的尖锐上界的主要成分,尾部依赖图是极值理论中总结渐近依赖性的图。
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来源期刊
Dependence Modeling
Dependence Modeling STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The journal Dependence Modeling aims at providing a medium for exchanging results and ideas in the area of multivariate dependence modeling. It is an open access fully peer-reviewed journal providing the readers with free, instant, and permanent access to all content worldwide. Dependence Modeling is listed by Web of Science (Emerging Sources Citation Index), Scopus, MathSciNet and Zentralblatt Math. The journal presents different types of articles: -"Research Articles" on fundamental theoretical aspects, as well as on significant applications in science, engineering, economics, finance, insurance and other fields. -"Review Articles" which present the existing literature on the specific topic from new perspectives. -"Interview articles" limited to two papers per year, covering interviews with milestone personalities in the field of Dependence Modeling. The journal topics include (but are not limited to):  -Copula methods -Multivariate distributions -Estimation and goodness-of-fit tests -Measures of association -Quantitative risk management -Risk measures and stochastic orders -Time series -Environmental sciences -Computational methods and software -Extreme-value theory -Limit laws -Mass Transportations
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