Spatial functional principal component analysis with applications to brain image data

DOI10.1016/j.jmva.2018.11.004zbMath1415.62117OpenAlexW2777448711WikidataQ128985033 ScholiaQ128985033MaRDI QIDQ1733286

Chen Huang, Yingxing Li, Wolfgang Karl Härdle

Publication date: 21 March 2019

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2017-024.pdf

zbMATH Keywords

asymptoticsprincipal component analysisfunctional magnetic resonance imaging (fMRI)penalized smoothing

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55) Applications of statistics to psychology (62P15)

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Uses Software

• fda (R)

Cites Work

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• An introduction to recent advances in high/infinite dimensional statistics
• Kriging for Hilbert-space valued random fields: the operatorial point of view
• A partial overview of the theory of statistics with functional data
• Inference for functional data with applications
• Multilevel functional principal component analysis
• Applied functional data analysis. Methods and case studies
• Principal component analysis.
• Risk patterns and correlated brain activities. Multidimensional statistical analysis of fMRI data in economic decision making study
• Multiscale adaptive smoothing models for the hemodynamic response function in fMRI
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.
• Overview of object oriented data analysis
• Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis
• Shrinkage Estimation for Functional Principal Component Scores with Application to the Population Kinetics of Plasma Folate
• Generalized Linear Array Models with Applications to Multidimensional Smoothing
• On the asymptotics of penalized splines
• Inference for Density Families Using Functional Principal Component Analysis
• Fast BivariateP-Splines: The Sandwich Smoother