Mean square convergence of functional conditional distribution estimators under twice censoring
Year: 2025
Type: article
Abstract: In this work, we propose a novel kernel estimator for the conditional distribution in the twice censored model, with functional regressors. We next analyze its mean square convergence, with an explicit rate given in Theorem [t1]. To validate our theoretical result, we conduct a simulation study that demonstrates the estimator's accuracy and performance, further supporting the robustness of our method, even with twice censored data.
Source: Gulf Journal of Mathematics
Authors: Ranya Boustila, Sarra Leulmi
Institution: University Frères Mentouri Constantine 1
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409608402