Supervised functional principal component analysis

DOI10.1007/s11222-017-9758-2zbMath1384.62187OpenAlexW2621140902MaRDI QIDQ1703870

Yunlong Nie, Jiguo Cao, Liang-Liang Wang, Bai-Sen Liu

Publication date: 7 March 2018

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-017-9758-2

zbMATH Keywords

classificationfunctional data analysisfunctional linear modelfunctional logistic regression

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (6)

Sparse functional partial least squares regression with a locally sparse slope function ⋮ Sparse functional principal component analysis in a new regression framework ⋮ Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction ⋮ Functional response regression analysis ⋮ Functional continuum regression ⋮ Robust functional principal component analysis based on a new regression framework

Uses Software

• fda (R)

Cites Work

• Supervised singular value decomposition and its asymptotic properties
• Applied functional data analysis. Methods and case studies
• Smoothed functional principal components analysis by choice of norm
• Generalized functional linear models
• Functional data analysis.
• The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions
• Functional approaches for predicting land use with the temporal evolution of coarse resolution remote sensing data
• Functional Data Analysis with R and MATLAB
• Representation of random processes using the finite Karhunen-Loève expansion
• Functional Data Analysis for Sparse Longitudinal Data
• Prediction by Supervised Principal Components

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