Independent component analysis for multivariate functional data
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DOI: 10.1016/j.jmva.2019.104568
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Cited by:
- Zhong, Rou & Liu, Shishi & Li, Haocheng & Zhang, Jingxiao, 2022. "Robust functional principal component analysis for non-Gaussian longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
- Marc Vidal & Mattia Rosso & Ana M. Aguilera, 2021. "Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
- Nordhausen, Klaus & Ruiz-Gazen, Anne, 2022.
"On the usage of joint diagonalization in multivariate statistics,"
Journal of Multivariate Analysis, Elsevier, vol. 188(C).
- Nordhausen, Klaus & Ruiz-Gazen, Anne, 2021. "On the usage of joint diagonalization in multivariate statistics," TSE Working Papers 21-1268, Toulouse School of Economics (TSE).
- Klaus Nordhausen & Anne Ruiz-Gazen, 2022. "On the usage of joint diagonalization in multivariate statistics," Post-Print hal-04296111, HAL.
- Archimbaud, Aurore & Boulfani, Fériel & Gendre, Xavier & Nordhausen, Klaus & Ruiz-Gazen, Anne & Virta, Joni, 2021. "ICS for multivariate functional anomaly detection with applications to predictive maintenance and quality control," TSE Working Papers 21-1182, Toulouse School of Economics (TSE), revised Mar 2022.
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Keywords
Covariance operator; Dimension reduction; Functional principal component analysis; Fourth order blind identification; Hilbert space; Joint approximate diagonalization of eigenmatrices;All these keywords.
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