Empirical likelihood inference for partial functional linear regression models based on B spline
Methodology
2017-11-02 v1
Abstract
In this paper, we apply empirical likelihood method to inference for the regression parameters in the partial functional linear regression models based on B spline. We prove that the empirical log likelihood ratio for the regression parameters converges in law to a weighted sum of independent chi square distributions and run simulations to assess the finite sample performance of our method.
Cite
@article{arxiv.1711.00052,
title = {Empirical likelihood inference for partial functional linear regression models based on B spline},
author = {Mingao Yuan and Yue Zhang},
journal= {arXiv preprint arXiv:1711.00052},
year = {2017}
}