3 papers
stat.ME2026
Knockoffs Inference under Privacy Constraints
Zhanrui Cai, Yingying Fan, Lan Gao
Model-X knockoff framework offers a model-free variable selection method that ensures finite sample false discovery rate (FDR) control. However, the complexity of generating knocko…
stat.ME2026
HSCI: Neyman-Orthogonal Causal Inference under High-Dimensional Proportional Hazards
Yingying Fan, Lan Gao, Daoji Li +1
Valid treatment effect inference in survival studies is fundamental yet challenging when the treatment assignments and outcomes are confounded by many baseline covariates. To this…
stat.ML2025
Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?
Yingying Fan, Lan Gao, Jinchi Lv +1
We propose a unified theoretical framework for studying the robustness of the model-X knockoffs framework by investigating the asymptotic false discovery rate (FDR) control of the…