15802 articles – 31782 Notices  [english version]
HAL : hal-00442874, version 1

Fiche détaillée  Récupérer au format
Versions disponibles :
Asymptotic properties of U-processes under long-range dependence
Céline Lévy-Leduc 1, Hélène Boistard 2, Eric Moulines 1, Murad S. Taqqu 3, Valderio A. Reisen 4
(23/12/2009)

Let $(X_i)_{i\geq 1}$ be a stationary mean-zero Gaussian process with covariances $\rho(k)=\PE(X_{1}X_{k+1})$ satisfying: $\rho(0)=1$ and $\rho(k)=k^{-D} L(k)$ where $D$ is in $(0,1)$ and $L$ is slowly varying at infinity. Consider the $U$-process $\{U_n(r),\; r\in I\}$ defined as $$ U_n(r)=\frac{1}{n(n-1)}\sum_{1\leq i\neq j\leq n}\1_{\{G(X_i,X_j)\leq r\}}\; , $$ where $I$ is an interval included in $\rset$ and $G$ is a symmetric function. In this paper, we provide central and non-central limit theorems for $U_n$. They are used to derive the asymptotic behavior of the Hodges-Lehmann estimator, the Wilcoxon-signed rank statistic, the sample correlation integral and an associated scale estimator. The limiting distributions are expressed through multiple Wiener-Itô integrals.
1 :  Laboratoire Traitement et Communication de l'Information [Paris] (LTCI)
Télécom ParisTech – CNRS : UMR5141
2 :  Groupe de recherche en économie mathématique et quantitative (GREMAQ)
CNRS : UMR5604 – Université des Sciences Sociales - Toulouse I – École des Hautes Études en Sciences Sociales [EHESS] – Institut national de la recherche agronomique (INRA) : UMR
3 :  Department of Mathematics - Boston University
Boston University
4 :  Universade Federal Do Espirito Santo
Universade Federal Do Espirito Santo
Mathématiques/Statistiques

Statistiques/Théorie
Long-range dependence – $U$-process – Hodges-Lehmann estimator – Wilcoxon-signed rank test – sample correlation integral
Liste des fichiers attachés à ce document : 
PDF
paper1_AOS.pdf(472.7 KB)
PS
paper1_AOS.ps(450.1 KB)