Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression

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 family, where covariates include high‐dimensional...

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Veröffentlicht in:	Statistics in medicine 2023-09, Vol.42 (20), p.3616-3635
Hauptverfasser:	Zhang, Yuzhe, Zhang, Xu, Zhang, Hong, Liu, Aiyi, Liu, Catherine C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomarkers COVID-19 generalized regression latent matrix‐factor regression low‐rank approximation matrix variate
Online-Zugang:	Volltext
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