Estimating Truncated Functional Linear Models With a Nested Group Bridge Approach

DOI10.1080/10618600.2020.1713797OpenAlexW2999607445WikidataQ126378285 ScholiaQ126378285MaRDI QIDQ5066008

Jiguo Cao, Zhenhua Lin, Tianyu Guan

Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2020.1713797

zbMATH Keywords

B-spline basis functionsfunctional data analysisfunctional linear regressionpenalized B-splineslocally sparsegroup bridge approach

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Sparse functional partial least squares regression with a locally sparse slope function ⋮ Variable Selection for Multiple Function-on-Function Linear Regression ⋮ Fusion learning of functional linear regression with application to genotype-by-environment interaction studies ⋮ Sparse estimation of historical functional linear models with a nested group bridge approach ⋮ A Dynamic Interaction Semiparametric Function-on-Scalar Model

Uses Software

• fda (R)

Cites Work

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