SIMEX Estimation in Parametric Modal Regression with Measurement Error
Methodology
2019-10-04 v2
Abstract
For a class of parametric modal regression models with measurement error, a simulation extrapolation estimation procedure is proposed in this paper for estimating the modal regression coefficients. Large sample properties of the proposed estimation procedure, including the consistency and asymptotic normality, are thoroughly investigated. Simulation studies are conducted to evaluate its robustness to potential outliers and the effectiveness in reducing the bias caused by the measurement error.
Cite
@article{arxiv.1909.12331,
title = {SIMEX Estimation in Parametric Modal Regression with Measurement Error},
author = {Jianhong Shi and Yujing Zhang and Ping Yu and Weixing Song},
journal= {arXiv preprint arXiv:1909.12331},
year = {2019}
}