Douge Lahcen - Profil du chercheur

Informations du chercheur

Nom complet

Douge Lahcen

Grade

Spécialité

Statistique

Thématique de recherche

Estimation et tests nonparamétriques; Dépendance faible; Valeurs extrèmes.

Laboratoire

Laboratoire de Modélisation des Systèmes Complexes

Établissement

Faculte des Sciences et Techniques Gueliz

Ouvrages (0 au total)

Aucun ouvrage disponible.

Projets (0 au total)

Aucun projet disponible.

Publications (8 au total)

A nonparametric distribution-free test of independence among continuous random vectors based on L1-norm

Auteur: Nour-Eddine Berrahou, Salim Bouzebda, Lahcen Douge

Revue: Bernoulli

Année: 2025

DOI: 10.3150/24-bej1772

Bahadur Type Representation and Berry-Esseen bound for Sample Quantiles Under Weak Dependence

Auteur: Lahcen Douge, Bahaeddine Taoufik

Revue: Proceedings of the 6 th International Conference on Statistics: Theory and Applications (ICSTA'24)

Année: 2024

DOI: 10.11159/icsta24.161

Estimation of the distribution and density functions using Bernstein polynomials under weak dependence

Auteur: Mohamed Belalia, Noureddine Berrahou, Lahcen Douge

Revue: Journal of Nonparametric Statistics

Année: 2024

DOI: 10.1080/10485252.2024.2403432

The Bahadur Representation for Empirical and Smooth Quantile Estimators Under Association

Auteur: Nour-Eddine Berrahou, Salim Bouzebda, Lahcen Douge

Revue: Methodology and Computing in Applied Probability

Année: 2024

DOI: 10.1007/s11009-024-10086-x

Functional Uniform-in-Bandwidth Moderate Deviation Principle for the Local Empirical Processes Involving Functional Data

Auteur: Nour-Eddine Berrahou, Salim Bouzebda, Lahcen Douge

Revue: Mathematical Methods of Statistics

Année: 2024

DOI: 10.3103/s1066530724700030

A Berry-Esseen theorem for sample quantiles under association

Auteur: Lahcen DOUGE

Revue: Communications in Statistics -Theory and Methods

Année: 2021

DOI: 10.1080/03610926.2020.1862871

KERNEL DENSITY ESTIMATION FOR LINEAR PROCESSES WITH \psi -WEAKLY DEPENDENT INNOVATIONS: ASYMPTOTIC NORMALITY

Auteur: Kaouthar EL FASSI, Lahcen DOUGE

Revue: Journal of Statistics: Advances in Theory and Applications

Année: 2019

DOI: 10.18642/jsata_7100122082

Kernel density estimation for linear processes with quasi-associated innovations

Auteur: Lahcen DOUGE

Revue: Annales de l'ISUP

Année: 2019

Communications (3 au total)

Bahadur type representation and Berry-Esseen bounds for empirical and smooth quantile estimators under weak dependence

Manifestation: 8th African International Conference on Statistics (AIC)

Date: 2024-06-27

Organisation: Hammamet, Tunisie

A non parametric test of conditional independence based on L1 error

Manifestation: 7th African International Conference on Statistics

Date: 2023-06-15

Organisation: Centre de conférences et ENSA , Université Cadi Ayyad Marrakech

The Bahadur representation of sample quantiles for associated sequences

Manifestation: Marrakesh International Workshop on random Fractals and Markov Processes

Date: 2022-11-25

Organisation: Faculté des Sciences Semlalia Marrakech

Thèses (0 au total)

Aucune thèse disponible.