# A robust partial least squares approach for function-on-function regression

@article{Beyaztas2022ARP, title={A robust partial least squares approach for function-on-function regression}, author={Ufuk Beyaztas and Han Lin Shang}, journal={Brazilian Journal of Probability and Statistics}, year={2022} }

The function-on-function linear regression model in which the response and predictors consist of random curves has become a general framework to investigate the relationship between the functional response and functional predictors. Existing methods to estimate the model parameters may be sensitive to outlying observations, common in empirical applications. In addition, these methods may be severely affected by such observations, leading to undesirable estimation and prediction results. A…

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