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...
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: | |
Online Access: | https://doi.org/10.2478/ausm-2021-0003 |
Similar Items
-
Bivariate box plots based on quantile regression curves
by: Navarro Jorge
Published: (2020-07-01) -
Strong consistency of local linear estimation of a conditional density function under random censorship
by: Abdelkader Benkhaled, et al.
Published: (2020-05-01) -
Estimation of the tail-index in a conditional location-scale family of heavy-tailed distributions
by: Ahmad Aboubacrène Ag, et al.
Published: (2019-12-01) -
Asymptotic normality of the relative error regression function estimator for censored and time series data
by: Bouhadjera Feriel, et al.
Published: (2021-08-01) -
Empirical likelihood for quantile regression models with response data missing at random
by: Luo S., et al.
Published: (2017-03-01)