Adaptive Function-on-Scalar Regression with a Smoothing Elastic Net

This paper presents a new methodology, called AFSSEN, to simultaneously select significant predictors and produce smooth estimates in a high-dimensional function-on-scalar linear model with a sub-Gaussian errors. Outcomes are assumed to lie in a general real separable Hilbert space, H, while paramet...

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Hauptverfasser:	Mirshani, Ardalan, Reimherr, Matthew
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematics - Statistics Theory Statistics - Methodology Statistics - Theory
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