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Strong Sub- and Super-Gaussianity.

, , and . LVA/ICA, volume 6365 of Lecture Notes in Computer Science, page 303-310. Springer, (2010)

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An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA., , , , , and . BIBE, page 205-210. IEEE, (2023)Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization., , , , and . NIPS, page 1505-1512. MIT Press, (2006)Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities., , , and . ICA, volume 4666 of Lecture Notes in Computer Science, page 97-104. Springer, (2007)Super-Gaussian Mixture Source Model for ICA., , and . ICA, volume 3889 of Lecture Notes in Computer Science, page 854-861. Springer, (2006)Contrast Functions for Independent Subspace Analysis., and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 115-122. Springer, (2012)Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures., , and . ICA, volume 5441 of Lecture Notes in Computer Science, page 90-97. Springer, (2009)Super-Gaussian mixture source model for ICA, , and . Proceedings of the 6th International Conference on Independent Component Analysis, Lecture Notes in Computer Science, page 1059--1066. Springer-Verlag, (2006)Variational EM Algorithms for Non-Gaussian Latent Variable Models., , , and . NIPS, page 1059-1066. (2005)The linear process mixture model., , and . MLSP, page 1-6. IEEE, (2013)Perspectives on Sparse Bayesian Learning., , and . NIPS, page 249-256. MIT Press, (2003)