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

3 citations · 3 across the 2 of their papers we have counts for

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3 papers

stat.ME2016

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…

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 -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…