Connectivity-Informed Adaptive Regularization for Generalized Outcomes
Damian Brzyski, Marta Karas, Beau M. Ances, Mario Džemidžić, Joaquín Goñi, Timothy W. Randolph, Jaroslaw Harezlak
This paper introduces griPEER, a regularization method that uses structural brain connectivity to improve regression coefficient estimation in generalized linear models, and applies it to classify HIV+ and HIV- individuals.
Canadian Journal of Statistics · Feb 15, 2021Peer-reviewedNeuroscience