1 citations · 1 across the 7 of their papers we have counts for
7 papers
Studentized Tests of Independence: Random-Lifter approach
Zhe Gao, Roulin Wang, Xueqin Wang +1
The exploration of associations between random objects with complex geometric structures has catalyzed the development of various novel statistical tests encompassing distance-base…
Regionalization of China's PM2.5 through Robust Spatio temporal Functional Clustering Method
Tingyin Wang, Xueqin Wang, Xiaobo Guo +1
The patterns of particulate matter with diameters that are generally 2.5 micrometers and smaller (PM2.5) are heterogeneous in China nationwide but can be homogeneous region-wide. T…
Reconstruct Ising Model with Global Optimality via SLIDE
Xuanyu Chen, Jin Zhu, Junxian Zhu +2
The reconstruction of interaction networks between random events is a critical problem arising from statistical physics and politics, sociology, biology, psychology, and beyond. Th…
A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
Borui Tang, Jin Zhu, Junxian Zhu +2
Analysis of high-dimensional data has led to increased interest in both single index models (SIMs) and the best-subset selection. SIMs provide an interpretable and flexible modelin…
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations
Canhong Wen, Ruipeng Dong, Xueqin Wang +2
Sparse reduced rank regression is an essential statistical learning method. In the contemporary literature, estimation is typically formulated as a nonconvex optimization that ofte…
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning
Siyi Deng, Yang Ning, Jiwei Zhao +1
We consider the estimation problem in high-dimensional semi-supervised learning. Our goal is to investigate when and how the unlabeled data can be exploited to improve the estimati…
Best Subset Selection in Reduced Rank Regression
Canhong Wen, Weiyu Li, Junxian Zhu +1
We design a new algorithm on the best subset selection model in reduced rank regression.