Interpretable functional principal component analysis

DOI10.1111/biom.12457zbMath1390.62108OpenAlexW2298009130WikidataQ40195829 ScholiaQ40195829MaRDI QIDQ2827196

Zhenhua Lin, Jiguo Cao, Liang-Liang Wang

Publication date: 12 October 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12457

zbMATH Keywords

regularizationprincipal component analysisfunctional data analysisEEGsparse PCAnull regionpenalized B-splineprojection deflationsample of random curves

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Sampling theory, sample surveys (62D05)

Related Items (8)

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 ⋮ Variable Selection for Multiple Function-on-Function Linear Regression ⋮ Parametric Functional Principal Component Analysis ⋮ Modeling Time-Varying Random Objects and Dynamic Networks ⋮ Robust functional principal component analysis based on a new regression framework ⋮ Sparse logistic functional principal component analysis for binary data

Uses Software

• fda (R)

Cites Work

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