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Function-on-Partially Linear Functional Additive Models

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DOI: 10.4236/jamp.2020.81001    95 Downloads   204 Views

ABSTRACT

We consider a functional partially linear additive model that predicts a functional response by a scalar predictor and functional predictors. The B-spline and eigenbasis least squares estimator for both the parametric and the nonparametric components proposed. In the final of this paper, as a result, we got the variance decomposition of the model and establish the asymptotic convergence rate for estimator.

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Huang, J. and Chen, S. (2020) Function-on-Partially Linear Functional Additive Models. Journal of Applied Mathematics and Physics, 8, 1-9. doi: 10.4236/jamp.2020.81001.

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