Rejoinder: Statistical models and methods for dependence in insurance data

被引:0
作者
Haug, Stephan [2 ]
Klueppelberg, Claudia [2 ]
Peng, Liang [1 ]
机构
[1] Georgia Inst Technol, Sch Math, Atlanta, GA 30332 USA
[2] Tech Univ Munich, Zentrum Math, D-85748 Garching, Germany
基金
美国国家科学基金会;
关键词
COPULAS;
D O I
10.1016/j.jkss.2011.03.001
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
Copulas are becoming a quite flexible tool in modeling dependence among the components of a multivariate vector. In order to predict extreme losses in insurance and finance, extreme value copulas and tail copulas play a more important role than copulas. In this paper, we review some estimation and testing procedures for both, extreme value copulas and tail copulas, which received much less attention in the literature than corresponding studies of copulas. (C) 2011 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:159 / 160
页数:2
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