Variable selection in functional regression models: a review
Methodology
2024-01-29 v1
Abstract
Despite of various similar features, Functional Data Analysis and High-Dimensional Data Analysis are two major fields in Statistics that grew up recently almost independently one from each other. The aim of this paper is to propose a survey on methodological advances for variable selection in functional regression, which is typically a question for which both functional and multivariate ideas are crossing. More than a simple survey, this paper aims to promote even more new links between both areas.
Cite
@article{arxiv.2401.14867,
title = {Variable selection in functional regression models: a review},
author = {Germán Aneiros and Silvia Novo and Philippe Vieu},
journal= {arXiv preprint arXiv:2401.14867},
year = {2024}
}
Comments
22 pages