Extremal behaviour of models with multivariate random recurrence representation

被引:9
|
作者
Klueppelberg, Claudia [1 ]
Pergamenchtchikov, Serguei
机构
[1] Tech Univ Munich, Ctr Math Sci, D-85747 Garching, Germany
[2] Univ Rouen, CNRS, UMR 6085, Lab Math Raphael Salem, F-76821 Mont St Aignan, France
关键词
cluster probability; extremal index; heteroscedastic model; partial maxima; random coefficient model; autoregressive process; random recurrence equation; multivariate regular variation; state space representation;
D O I
10.1016/j.spa.2006.09.001
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
For the solution Y of a multivariate random recurrence model Y-n = A(n)Y(n-1) + zeta(n) in R-q we investigate the extremal behaviour of the process y(n) = Z(*)' Y-n, n is an element of N, for z(*) is an element of R-q with vertical bar z(*)vertical bar = 1. This extends results for positive matrices A(n). Moreover, we obtain explicit representations of the compound Poisson limit of point processes of exceedances over high thresholds in terms of its Poisson intensity and its jump distribution, which represents the cluster behaviour of such models on high levels. As a principal example we investigate a random coefficient autoregressive process. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:432 / 456
页数:25
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