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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.ME2024
ARK: Robust Knockoffs Inference with Coupling
Yingying Fan, Lan Gao, Jinchi Lv
We investigate the robustness of the model-X knockoffs framework with respect to the misspecified or estimated feature distribution. We achieve such a goal by theoretically studyin…