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math.ST2022
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
Shiyuan He, Hanxuan Ye, Kejun He
This work studies the multi-task functional linear regression models where both the covariates and the unknown regression coefficients (called slope functions) are curves. For slop…
math.ST2022★ 3 cited
A Modern Theory for High-dimensional Cox Regression Models
Hanxuan Ye, Xianyang Zhang, Huijuan Zhou
The proportional hazards model has been extensively used in many fields such as biomedicine to estimate and perform statistical significance testing on the effects of covariates in…