Hierarchical independent component analysis: a multi-resolution non-orthogonal data-driven basis

DOI10.1016/j.csda.2015.09.014zbMath1468.62175OpenAlexW1771595516MaRDI QIDQ1659489

Simone Vantini, Piercesare Secchi, Paolo Zanini

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.09.014

zbMATH Keywords

blind source separationindependent component analysisdimensional reductionmulti-resolution analysiselectroencephalographytreelets

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan ⋮ Rejoinder to the discussion of ``Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan ⋮ fastHICA

Uses Software

• R
• UCI-ml

Cites Work

• Unnamed Item
• Measuring and testing dependence by correlation of distances
• Analysis of EEG data using optimization, statistics, and dynamical system techniques
• Treelets -- an adaptive multi-scale basis for sparse unordered data
• Independent Component Analysis for the objective classification of globular clusters of the galaxy NGC 5128
• A theory for multiresolution signal decomposition: the wavelet representation

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