3 citations · 4 across the 4 of their papers we have counts for
4 papers
Functional relative error regression under left truncation and right censoring
Adel Boucetta, Zohra Guessoum, Elias Ould-Said
The nonparametric estimators built by minimizing the mean squared relative error are gaining in popularity for their robustness in the presence of outliers in comparison to the Nad…
Nonparametric M-estimation for right censored regression model with stationary ergodic data
Mohamed Chaouch, Naamane Laib, Elias Ould-Said
The present paper deals with a nonparametric M-estimation for right censored regression model with stationary ergodic data. Defined as an implicit function, a kernel type estimator…
A strong uniform convergence rate of a kernel conditional quantile estimator under random left-truncation and dependent data
Elias Ould-Saïd, Djabrane Yahia, Abdelhakim Necir
In this paper we study some asymptotic properties of the kernel conditional quantile estimator with randomly left-truncated data which exhibit some kind of dependence. We extend th…
Kernel regression uniform rate estimation for censored data under -mixing condition
Zohra Guessoum, Elias Ould-Saïd
In this paper, we study the behavior of a kernel estimator of the regression function in the right censored model with -mixing data . The uniform strong consistency over a real…