A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data - Zhang, Lin; DiLernia, Andrew; Quevedo, Karina; Camchong, Jazmin; Lim, Kelvin; Pan, Wei (Biometrics, 2021)
Keywords: Asymptotic methods; Asymptotic properties; bi‐level graphical model; Brain - diagnostic imaging; Computer Simulation; Connectome; Covariance; Data analysis; data collection; functional connectivity; Functional magnetic resonance imaging; genomics; graphical lasso; Humans; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; magnetism; Mental disorders; multiple graphical model; Neural networks; random covariance model; regression analysis; Schizophrenia; Schizophrenia - diagnostic imaging; Statistical analysis; bi-level graphical model; functional connectivity; graphical lasso; multiple graphical model; random covariance model