Ersin Yılmaz

[ 1 ] - Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data

Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity and censorship. To address these issues, we improved the kernel estimator based on synthetic data transformation and kNN imputation techniques. The key idea of this paper is t...