Phantom distribution functions for some stationary sequences - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Extremes Année : 2015

Phantom distribution functions for some stationary sequences

Résumé

The notion of a phantom distribution function (phdf) was introduced by O’Brien (Ann. Probab. 15, 281–292 (1987)). We show that the existence of a phdf is a quite common phenomenon for stationary weakly dependent sequences. It is proved that any α-mixing stationary sequence with continuous marginals admits a continuous phdf. Sufficient conditions are given for stationary sequences exhibiting weak dependence, what allows the use of attractive models beyond mixing. The case of discontinuous marginals is also discussed for α-mixing. Special attention is paid to examples of processes which admit a continuous phantom distribution function while their extremal index is zero. We show that Asmussen (Ann. Appl. Probab. 8, 354– 374 1998) and Roberts et al. (Extremes. 9, 213–229 2006) provide natural examples of such processes. We also construct a non-ergodic stationary process of this type.

Dates et versions

hal-01232648 , version 1 (23-11-2015)

Identifiants

Citer

Paul Doukhan, Adam Jakubowski, Gabriel Lang. Phantom distribution functions for some stationary sequences. Extremes, 2015, 18 (4), pp.697-725. ⟨10.1007/s10687-015-0228-y⟩. ⟨hal-01232648⟩
113 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More