On estimation and prediction in spatial functional linear regression model
Statistics Theory
2019-08-07 v1 Statistics Theory
Abstract
We consider a spatial functional linear regression, where a scalar response is related to a square integrable spatial functional process. We use a smoothing spline estimator for the functional slope parameter and establish a finite sample bound for variance of this estimator under mixing spatial dependence. Then, we give a bound of the prediction error. Finally, we illustrate our results by simulations
Cite
@article{arxiv.1908.02143,
title = {On estimation and prediction in spatial functional linear regression model},
author = {Stéphane Bouka and Sophie Dabo-Niang and Guy Martial Nkiet},
journal= {arXiv preprint arXiv:1908.02143},
year = {2019}
}