Evaluating model misspecification in independent component analysis

DOI10.1080/00949655.2013.867961zbMath1457.62194OpenAlexW2026386606WikidataQ30407934 ScholiaQ30407934MaRDI QIDQ5220781

Balaji Lakshmanan, Dzung L. Pham, Seonjoo Lee, Brian S. Caffo

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4309392

zbMATH Keywords

independent component analysismodel misspecificationconvolutive mixing

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Independent component analysis, a new concept?
• 10.1162/153244303768966085
• Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging
• Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG
• The Geometry of Algorithms with Orthogonality Constraints
• Blind separation of mixture of independent sources through a quasi-maximum likelihood approach
• Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach
• A family of frequency- and time-domain contrasts for blind separation of convolutive mixtures of temporally dependent signals
• Consistent independent component analysis and prewhitening
• Time Series

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