CLT for single functional index quantile regression under dependence structure

Author:

Kadiri Nadia1,Rabhi Abbes1,Khardani Salah2,Akkal Fatima3

Affiliation:

1. University Djillali LIABES of Sidi Bel , Abbes , Algeria

2. Laboratoire de Physique Mathématique , Fonctions spéciales et Applications , Hammam-Sousse , Tunisia

3. University Djillali LIABES of Sidi Bel Abbes , Algeria

Abstract

Abstract In this paper, we investigate the asymptotic properties of a nonparametric conditional quantile estimation in the single functional index model for dependent functional data and censored at random responses are observed. First of all, we establish asymptotic properties for a conditional distribution estimator from which we derive an central limit theorem (CLT) of the conditional quantile estimator. Simulation study is also presented to illustrate the validity and finite sample performance of the considered estimator. Finally, the estimation of the functional index via the pseudo-maximum likelihood method is discussed, but not tackled.

Publisher

Walter de Gruyter GmbH

Subject

General Mathematics

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