Functional data: local linear estimation of the conditional density and its application

Statistics ◽  
2013 ◽  
Vol 47 (1) ◽  
pp. 26-44 ◽  
Author(s):  
Jacques Demongeot ◽  
Ali Laksaci ◽  
Fethi Madani ◽  
Mustapha Rachdi
2018 ◽  
Vol 28 (2) ◽  
pp. 217-240 ◽  
Author(s):  
Fahimah A. Al-Awadhi ◽  
Zoulikha Kaid ◽  
Ali Laksaci ◽  
Idir Ouassou ◽  
Mustapha Rachdi

2020 ◽  
Vol 9 (3) ◽  
pp. 513-529
Author(s):  
Abdelkader Benkhaled ◽  
Fethi Madani ◽  
Salah Khardani

Abstract In this paper, we study nonparametric local linear estimation of the conditional density of a randomly censored scalar response variable given a functional random covariate. We establish under general conditions the pointwise almost sure convergence with rates of this estimator under $$\alpha $$ α -mixing dependence. Finally, to show interests of our results, on the practical point of view, we have conducted a computational study, first on a simulated data and, then on some real data concerning Kidney transplant data.


2018 ◽  
Vol 31 (1) ◽  
pp. 175-195 ◽  
Author(s):  
Zouaoui Chikr-Elmezouar ◽  
Ibrahim M. Almanjahie ◽  
Ali Laksaci ◽  
Mustapha Rachdi

Sign in / Sign up

Export Citation Format

Share Document