Meta densities and the shape of their sample clouds

被引:20
作者
Balkema, A. A. [2 ]
Embrechts, P. [1 ]
Nolde, N. [1 ]
机构
[1] ETH, Dept Math, CH-8092 Zurich, Switzerland
[2] Univ Amsterdam, Dept Math, NL-1098 XH Amsterdam, Netherlands
关键词
Meta distribution; Sample clouds; Level sets; Limit shape; Multivariate extremes; Regular variation; COPULAS; SETS;
D O I
10.1016/j.jmva.2010.02.010
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
This paper compares the shape of the level sets for two multivariate densities. The densities are positive and continuous, and have the same dependence structure. The density f is heavy-tailed. It decreases at the same rate - up to a positive constant - along all rays. The level sets {f > c} for c down arrow 0, have a limit shape, a bounded convex set. We transform each of the coordinates to obtain a new density g with Gaussian marginals. We shall also consider densities g with Laplace, or symmetric Weibull marginal densities. It will be shown that the level sets of the new light-tailed density g also have a limit shape, a bounded star-shaped set. The boundary of this set may be written down explicitly as the solution of a simple equation depending on two positive parameters. The limit shape is of interest in the study of extremes and in risk theory, since it determines how the extreme observations in different directions relate. Although the densities f and g have the same copula - by construction - the shapes of the level sets are not related. Knowledge of the limit shape of the level sets for one density gives no information about the limit shape for the other density. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1738 / 1754
页数:17
相关论文
共 26 条
[1]  
[Anonymous], 2005, PRINCETON SERIES FIN
[2]  
[Anonymous], 1997, MULTIVARIATE MODELS
[3]  
Balkema G, 2007, ZUR LECT ADV MATH, P1
[4]  
Bedford T., 2001, Probabilistic Risk Analysis: Foundations and Methods
[5]   REGULARLY VARYING PROBABILITY DENSITIES [J].
Bingham, N. H. ;
Goldie, Charles M. ;
Omey, Edward .
PUBLICATIONS DE L INSTITUT MATHEMATIQUE-BEOGRAD, 2006, 80 (94) :47-57
[6]  
Bingham N.H., 1989, REGULAR VARIATION
[7]   ALMOST SURE LIMIT-SETS OF RANDOM SAMPLES IN-RD [J].
DAVIS, RA ;
MULROW, E ;
RESNICK, SI .
ADVANCES IN APPLIED PROBABILITY, 1988, 20 (03) :573-599
[8]  
DONNELLY C, 2010, ASTIN B IN PRESS, V40
[9]  
Duchateau L, 2008, STAT BIOL HEALTH, P1
[10]   Copulas: A Personal View [J].
Embrechts, Paul .
JOURNAL OF RISK AND INSURANCE, 2009, 76 (03) :639-650