An evaluation of independent component analyses with an application to resting‐state fMRI

DOI10.1111/biom.12111zbMath1419.62430OpenAlexW1544320366WikidataQ30574058 ScholiaQ30574058MaRDI QIDQ4979253

Benjamin B. Risk, Ani Eloyan, David Ruppert, David S. Matteson, Brian S. Caffo

Publication date: 17 June 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3954232

zbMATH Keywords

stability analysisnonconvex optimizationHungarian algorithmpermutation problemgroup ICAprodenica

Mathematics Subject Classification ID

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

Related Items (5)

Multi-dimensional functional principal component analysis ⋮ Group linear non-Gaussian component analysis with applications to neuroimaging ⋮ Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging ⋮ Optimization and testing in linear non‐Gaussian component analysis ⋮ Linear Non-Gaussian Component Analysis Via Maximum Likelihood

Uses Software

• fastICA
• ProDenICA
• JADE

Cites Work

• Unnamed Item
• Independent component analysis, a new concept?
• A semiparametric approach to source separation using independent component analysis
• Efficient independent component analysis
• Multidimensional scaling. I: Theory and method
• A General Probabilistic Model for Group Independent Component Analysis and Its Estimation Methods
• 10.1162/153244303768966085
• Performance analysis of the FastICA algorithm and Crame/spl acute/r-rao bounds for linear independent component analysis

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