Nonparametric local linear regression estimation for censored data and functional regressors

被引：0
作者：
Leulmi Sara
机构：
[1] Université frères Mentouri,Laboratoire LAMASD, département de Mathématiques
来源：
Journal of the Korean Statistical Society | 2022年 / 51卷
关键词：
Functional data; Right censoring; Locally modeled regression; Nonparametric estimation; Kaplan-Meier estimator; Rate of almost-complete convergence; 62G20; 62N01; 62P30; 62M10;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this work, we introduce a local linear nonparametric estimation of the regression function of a censored scalar response random variable, given a functional random covariate. Under standard conditions, we establish the pointwise and the uniform almost-complete convergences, with rates, of the proposed estimator. Then, we carry out a simulation study and a real data analysis in order to compare the performances of our methodology with those of the kernel method.
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页码：25 / 46
页数：21
相关论文
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