E. Ould-Saǐd

activity

20082023

most citedA strong uniform convergence rate of a kernel conditional quantile estimator under random left-truncation and dependent data

3 citations · 3 across the 3 of their papers we have counts for

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math.ST2023

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…

math.ST2008★ 3 cited

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…

math.ST2008

Kernel regression uniform rate estimation for censored data under $α$ -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 $α$ -mixing data . The uniform strong consistency over a real…

Functional relative error regression under left truncation and right censoring

A strong uniform convergence rate of a kernel conditional quantile estimator under random left-truncation and dependent data

Kernel regression uniform rate estimation for censored data under α-mixing condition

Kernel regression uniform rate estimation for censored data under $α$ -mixing condition