Parametric Functional Principal Component Analysis

DOI10.1111/biom.12641zbMath1522.62224OpenAlexW2593930685WikidataQ38907127 ScholiaQ38907127MaRDI QIDQ6079975

Liang-Liang Wang, Jiguo Cao, Peijun Sang

Publication date: 30 October 2023

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12641

zbMATH Keywords

robust estimationfunctional data analysiscurve variationeigenfuntions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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 ⋮ Semiparametric functional factor models with Bayesian rank selection ⋮ Functional continuum regression ⋮ Robust functional principal component analysis based on a new regression framework

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Functional linear regression analysis for longitudinal data
• Some properties of smoothed principal components analysis for functional data
• Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference
• Local functional principal component analysis
• PCA stability and choice of dimensionality
• Simultaneous non-parametric regressions of unbalanced longitudinal data
• Linear processes in function spaces. Theory and applications
• Applied functional data analysis. Methods and case studies
• Smoothed functional principal components analysis by choice of norm
• Generalized functional linear models
• Functional data analysis.
• Interpretable functional principal component analysis
• Hierarchical functional data with mixed continuous and binary measurements
• Functional Data Analysis with R and MATLAB
• Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
• Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
• Localized Functional Principal Component Analysis
• Functional Data Analysis for Sparse Longitudinal Data

This page was built for publication: Parametric Functional Principal Component Analysis