# Locally Sparse Function on function Regression

@inproceedings{Bernardi2021LocallySF, title={Locally Sparse Function on function Regression}, author={Mauro Bernardi and Antonio Canale and Marco Stefanucci}, year={2021} }

In functional data analysis, functional linear regression has attracted significant attention recently. Herein, we consider the case where both the response and covariates are functions. There are two available approaches for addressing such a situation: concurrent and nonconcurrent functional models. In the former, the value of the functional response at a given domain point depends only on the value of the functional regressors evaluated at the same domain point, whereas, in the latter, the… Expand

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