2 papers
q-bio.OT2026
Personalizing Cancer Models under Data Scarcity via Parameter Decomposition
Logan Rose, Jonathan Martinez, Juho Kim +3
Personalized cancer modeling for clinical applications requires robust and efficient parameter calibration, particularly in settings with limited patient data. This need is especia…
stat.ME2024
Shape-restricted transfer learning analysis for generalized linear regression model
Pengfei Li, Tao Yu, Chixiang Chen +1
Transfer learning has emerged as a highly sought-after and actively pursued research area within the statistical community. The core concept of transfer learning involves leveragin…