78 citations · 110 across the 11 of their papers we have counts for
7 papers · 1 filter
Inference in High-dimensional Multivariate Response Regression with Hidden Variables
Xin Bing, Wei Cheng, Huijie Feng +1
This paper studies the inference of the regression coefficient matrix under multivariate response linear regressions in the presence of hidden variables. A novel procedure for cons…
Optimal Covariate Balancing Conditions in Propensity Score Estimation
Jianqing Fan, Kosuke Imai, Inbeom Lee +3
Inverse probability of treatment weighting (IPTW) is a popular method for estimating the average treatment effect (ATE). However, empirical studies show that the IPTW estimators ca…
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data
Yanxin Jin, Yang Ning, Kean Ming Tan
Graphical models have been used extensively for modeling brain connectivity networks. However, unmeasured confounders and correlations among measurements are often overlooked durin…
Heterogeneity-aware and communication-efficient distributed statistical inference
Rui Duan, Yang Ning, Yong Chen
In multicenter research, individual-level data are often protected against sharing across sites. To overcome the barrier of data sharing, many distributed algorithms, which only re…
Regression Discontinuity Design under Self-selection
Sida Peng, Yang Ning
In Regression Discontinuity (RD) design, self-selection leads to different distributions of covariates on two sides of the policy intervention, which essentially violates the conti…
Optimal Sampling for Generalized Linear Models under Measurement Constraints
Tao Zhang, Yang Ning, David Ruppert
Under "measurement constraints," responses are expensive to measure and initially unavailable on most of records in the dataset, but the covariates are available for the entire dat…