Low-rank latent matrix-factor prediction modeling for generalized high-dimensional matrix-variate regression
Description
Motivated by diagnosing the COVID-19 disease using two-dimensional (2D) image biomarkers from computed tomography (CT) scans, we propose a novel latent matrix-factor regression model to predict responses that may come from an exponential distribution
