1 citations · 2 across the 5 of their papers we have counts for
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math.ST2019
Regression-adjusted average treatment effect estimates in stratified randomized experiments
Hanzhong Liu, Yuehan Yang
Researchers often use linear regression to analyse randomized experiments to improve treatment effect estimation by adjusting for imbalances of covariates in the treatment and cont…
stat.ME2019★ 1 cited
Sparse Laplacian Shrinkage with the Graphical Lasso Estimator for Regression Problems
Yuehan Yang, Siwei Xia, Hu Yang
This paper considers a high-dimensional linear regression problem where there are complex correlation structures among predictors. We propose a graph-constrained regularization pro…
stat.ME2019
Smooth Adjustment for Correlated Effects
Yuehan Yang, Hu Yang
This paper considers a high dimensional linear regression model with corrected variables. A variety of methods have been developed in recent years, yet it is still challenging to k…