AbstractFor the solution Y of a multivariate random recurrence model Yn=AnYn−1+ζn in Rq we investigate the extremal behaviour of the process yn=z∗′Yn, n∈N, for z∗∈Rq with |z∗|=1. This extends results for positive matrices An. 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
In this paper we study the tail and the extremal behavior of stationary solutions of autoregressive ...
Factor models have large potencial in the modeling of several natural and human phenomena. In this p...
AbstractThe structure of the large values attained by a stationary random process indexed by a one-d...
For the solution Y of a multivariate random recurrence model Yn=AnYn-1+[zeta]n in we investigate the...
AbstractWe investigate the extremal behavior of a special class of autoregressive processes with ARC...
In this work, we study the statistical properties of deterministic and stochastic dynamical systems....
AbstractBased on multiparameter subadditive ergodic theorems of Akcoglu and Krengel (1981) and Schür...
This thesis in divided in two parts. The first part studies models for multivariate extremes. We giv...
The random coefficient integer-valued autoregressive process was recently introduced by Zheng, Basaw...
AbstractWe study the extremes of a sequence of random variables (Rn) defined by the recurrence Rn=Mn...
This thesis in divided in two parts. The first part studies models for multivariate extremes. We giv...
Pareto processes are suitable to model stationary heavy-tailed data. Here, we consider the auto-reg...
AbstractVarious models with application to soil erosion, riverflow, and solar energy storage give ri...
Based on multiparameter subadditive ergodic theorems of Akcoglu and Krengel (1981) and Schürger (198...
Multivariate process satisfying affine stochastic recurrence equation with generic diagonal matrices...
In this paper we study the tail and the extremal behavior of stationary solutions of autoregressive ...
Factor models have large potencial in the modeling of several natural and human phenomena. In this p...
AbstractThe structure of the large values attained by a stationary random process indexed by a one-d...
For the solution Y of a multivariate random recurrence model Yn=AnYn-1+[zeta]n in we investigate the...
AbstractWe investigate the extremal behavior of a special class of autoregressive processes with ARC...
In this work, we study the statistical properties of deterministic and stochastic dynamical systems....
AbstractBased on multiparameter subadditive ergodic theorems of Akcoglu and Krengel (1981) and Schür...
This thesis in divided in two parts. The first part studies models for multivariate extremes. We giv...
The random coefficient integer-valued autoregressive process was recently introduced by Zheng, Basaw...
AbstractWe study the extremes of a sequence of random variables (Rn) defined by the recurrence Rn=Mn...
This thesis in divided in two parts. The first part studies models for multivariate extremes. We giv...
Pareto processes are suitable to model stationary heavy-tailed data. Here, we consider the auto-reg...
AbstractVarious models with application to soil erosion, riverflow, and solar energy storage give ri...
Based on multiparameter subadditive ergodic theorems of Akcoglu and Krengel (1981) and Schürger (198...
Multivariate process satisfying affine stochastic recurrence equation with generic diagonal matrices...
In this paper we study the tail and the extremal behavior of stationary solutions of autoregressive ...
Factor models have large potencial in the modeling of several natural and human phenomena. In this p...
AbstractThe structure of the large values attained by a stationary random process indexed by a one-d...