Penalized Function-on-Function Regression

@inproceedings{Ivanescu2014PenalizedFR,
  title={Penalized Function-on-Function Regression},
  author={Andrada E. Ivanescu and Ana-Maria Staicu and Fabian Scheipl and Sonja Greven},
  year={2014}
}
A general framework for smooth regression of a functional response on one or multiple functional predictors is proposed. Using the mixed model representation of penalized regression expands the scope of function-on-function regression to many realistic scenarios. In particular, the approach can accommodate a densely or sparsely sampled functional response as well as multiple functional predictors that are observed on the same or different domains than the functional response, on a dense or… CONTINUE READING

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