CLT for single functional index quantile regression under dependence structure

CLT for single functional index quantile regression under dependence structure

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...

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Bibliographic Details
Main Authors: Kadiri Nadia, Rabhi Abbes, Khardani Salah, Akkal Fatima
Format: Article
Language:English
Published: Sciendo 2021-08-01
Series:Acta Universitatis Sapientiae: Mathematica
Subjects:
conditional quantile
censored data
functional random variable
kernel estimator
nonparametric estimation
probabilities of small balls
strong mixing processes
single index model
primary 62g05
secondary 62g99
thirdly 62m10
Online Access:https://doi.org/10.2478/ausm-2021-0003

Internet

https://doi.org/10.2478/ausm-2021-0003

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