This book presents a systematic and unified approach for modern nonparametric treatment
of missing and modified data via examples of density and hazard rate estimation …

In this paper, we propose modified spline estimators for nonparametric regression models
with right-censored data, especially when the censored response observations are …

We consider the problem of nonparametrically estimating the conditional quantile function
from censored dependent data. The method proposed here is based on a local linear fit …

Predicting the onset time of Alzheimer's disease is of great importance in preventive
medicine. Structural changes in brain regions have been actively investigated in the …

This study focuses on estimating a nonparametric regression model with right-censored data
when the covariate is subject to measurement error. To achieve this goal, it is necessary to …

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 …

This paper focuses on the adaptive spline (A-spline) fitting of the semiparametric regression
model to time series data with right-censored observations. Typically, there are two main …

We consider projection estimator methods for the nonparametric estimation of the density of
iid biased observations with a general known bias function w and under right censoring …

In this paper, we consider the estimation of the regression function when the interest
variable is subject to random censorship and the data satisfy some dependency conditions …

We consider the problem of nonparametric quantile regression for twice censored data. Two
new estimates are presented, which are constructed by applying concepts of monotone …