1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
stat.ME2014★ 1 cited
Adaptive elastic net and Separate Selection from Least Squares for ultra-high dimensional regression models
Yuehan Yang, Hu Yang
This paper studies the asymptotic properties of the adaptive elastic net in ultra-high dimensional sparse linear regression models and proposes a new method called SSLS (Separate S…