2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2021
Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging
Yuxuan Zhao, David S. Matteson, Mary Beth Nebel +2
Independent component analysis (ICA) is an unsupervised learning method popular in functional magnetic resonance imaging (fMRI). Group ICA has been used to search for biomarkers in…
stat.ME2017★ 2 cited
Optimization and Testing in Linear Non-Gaussian Component Analysis
Ze Jin, Benjamin B. Risk, David S. Matteson
Independent component analysis (ICA) decomposes multivariate data into mutually independent components (ICs). The ICA model is subject to a constraint that at most one of these com…