A robust estimation for the extended t-process regression model
Applications
2018-12-20 v1
Abstract
Robust estimation and variable selection procedure are developed for the extended t-process regression model with functional data. Statistical properties such as consistency of estimators and predictions are obtained. Numerical studies show that the proposed method performs well.
Cite
@article{arxiv.1812.07701,
title = {A robust estimation for the extended t-process regression model},
author = {Zhanfeng Wang and Kai Li and Jian Qing Shi},
journal= {arXiv preprint arXiv:1812.07701},
year = {2018}
}
Comments
20 pages