activity
20082026
most citedA strong uniform convergence rate of a kernel conditional quantile estimator under random left-truncation and dependent data

3 citations · 9 across the 20 of their papers we have counts for

collaborators

25 papers

math.PR2026

Weighted Gaussian Approximations for Increments of the Uniform Empirical and Quantile Processes: Fixed-Endpoint Extensions to the Finite-Count Scale

Abdelhakim Necir

We establish weighted Gaussian approximations for the uniform empirical and quantile processes and for their increments ending at a fixed point t in (0,1). We first place the class…

math.ST2026

Weighted and Truncated Tail Index Estimation under Random Censoring: A Unified Full-Range Framework

Abdelhakim Necir, Nour Elhouda Guesmia, Djamel Meraghni

Estimation of the extreme value index under right censoring is a fundamental problem in extreme value theory, with important applications in finance, insurance, and reliability. Cl…

math.ST2025

Weighted Estimation of the Tail Index under Right Censorship: A Unified Approach Based on Kaplan-Meier and Nelson-Aalen Integrals

Abdelhakim Necir, Nour Elhouda Guesmia, Djamel Meraghni

Kaplan-Meier and Nelson-Aalen integral estimators to the tail index of right-censored Pareto-type data traditionally rely on the assumption that the proportion p of upper uncensore…

math.ST2025

Robust and Smooth Estimation of the Extreme Tail Index via Weighted Minimum Density Power Divergence

Saida Mancer, Abdelhakim Necir, Djamel Meraghni

By introducing a weight function into the density power divergence, we develop a new class of robust and smooth estimators for the tail index of Pareto-type distributions, offering…

math.ST2025

Robust Tail Index Estimation under Random Censoring via Minimum Density Power Divergence

Nour Elhouda Guesmia, Abdelhakim Necir, Djamel Meraghni

We propose a robust estimator for the tail index of Pareto-type distributions under random right-censoring, constructed within the minimum density power divergence (MDPD) framework…

math.ST2025

Nelson-Aalen kernel estimator to the tail index of right censored Pareto-type data

Nour Elhouda Guesmia, Abdelhakim Necir, Djamel Meraghni

On the basis of Nelson-Aalen product-limit estimator of a randomly censored distribution function, we introduce a kernel estimator to the tail index of right-censored Pareto-like d…