Wavelet estimation of the long memory parameter for Hermite polynomial of Gaussian processes - IMT - Institut Mines-Télécom Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2011

Wavelet estimation of the long memory parameter for Hermite polynomial of Gaussian processes

Résumé

We consider stationary processes with long memory which are non-Gaussian and represented as Hermite polynomials of a Gaussian process. We focus on the corresponding wavelet coefficients and study the asymptotic behavior of the sum of their squares since this sum is often used for estimating the long-memory parameter. We show that the limit is not Gaussian but can be expressed using the non-Gaussian Rosenblatt process defined as a Wiener Itô integral of order 2. This happens even if the original process is defined through a Hermite polynomial of order higher than 2.
Fichier principal
Vignette du fichier
hqo-v2.pdf (429.73 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-00590798 , version 1 (05-05-2011)
hal-00590798 , version 2 (01-07-2011)
hal-00590798 , version 3 (31-05-2013)

Identifiants

Citer

Marianne Clausel, François Roueff, Murad S. Taqqu, Ciprian A. Tudor. Wavelet estimation of the long memory parameter for Hermite polynomial of Gaussian processes. 2011. ⟨hal-00590798v2⟩

Collections

ICJ
937 Consultations
393 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More