A note on functional linear regression

DOI10.1080/00949650701836765zbMath1186.62030OpenAlexW2055058062WikidataQ58063334 ScholiaQ58063334MaRDI QIDQ3638576

Amparo Baíllo

Publication date: 27 October 2009

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10486/7108

zbMATH Keywords

regularizationcross-validationfunctional linear regressionFourier basisfunctional principal componentsroughness penaltycovariance eigenfunction

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Point estimation (62F10) Monte Carlo methods (65C05)

Related Items (2)

Functional Regression for Densely Observed Data With Novel Regularization ⋮ Methodology and theory for partial least squares applied to functional data

Cites Work

• Prediction in functional linear regression
• Methodology and convergence rates for functional linear regression
• Smoothing methods in statistics
• Generalized functional linear models
• On rates of convergence in functional linear regression
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.
• Functional Quasi-Likelihood Regression Models with Smooth Random Effects

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