289 citations · 307 across the 11 of their papers we have counts for
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stat.ME2020★ 2 cited
Principal Regression for High Dimensional Covariance Matrices
Yi Zhao, Brian S. Caffo, Xi Luo
This manuscript presents an approach to perform generalized linear regression with multiple high dimensional covariance matrices as the outcome. Model parameters are proposed to be…
stat.ME2020★ 2 cited
A spatial template independent component analysis model for subject-level brain network estimation and inference
Amanda F. Mejia, David Bolin, Yu Ryan Yue +3
Independent component analysis is commonly applied to functional magnetic resonance imaging (fMRI) data to extract independent components (ICs) representing functional brain networ…