Preprint
Sep 2026
Design-Assisted Regression
A general design-assisted regression framework in which the estimating criterion depends on both the conditional model for $Y \mid \bfX$ and structured features of the covariate distribution, which improves estimation while preserving first-order prediction performance.
S. Ye, Guan-Bo Wang, Cong Zhang et al.
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