496 citations · 1.9k across the 52 of their papers we have counts for
17 papers · 1 filter
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…
SOFARI: High-Dimensional Manifold-Based Inference
Zemin Zheng, Xin Zhou, Yingying Fan +1
Multi-task learning is a widely used technique for harnessing information from various tasks. Recently, the sparse orthogonal factor regression (SOFAR) framework, based on the spar…
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…
High-Dimensional Knockoffs Inference for Time Series Data
Chien-Ming Chi, Yingying Fan, Ching-Kang Ing +1
We make some initial attempt to establish the theoretical and methodological foundation for the model-X knockoffs inference for time series data. We suggest the method of time seri…
The correlation-assisted missing data estimator
Timothy I. Cannings, Yingying Fan
We introduce a novel approach to estimation problems in settings with missing data. Our proposal -- the Correlation-Assisted Missing data (CAM) estimator -- works by exploiting the…
SIMPLE: Statistical Inference on Membership Profiles in Large Networks
Jianqing Fan, Yingying Fan, Xiao Han +1
Network data is prevalent in many contemporary big data applications in which a common interest is to unveil important latent links between different pairs of nodes. Yet a simple f…