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SPARSE COMPOSITE QUANTILE REGRESSION WITH ULTRAHIGH-DIMENSIONAL HETEROGENEOUS DATA 期刊论文
STATISTICA SINICA, 2022, 卷号: 32, 期号: 1, 页码: 459-475
Authors:  Qu, Lianqiang;  Hao, Meiling;  Sun, Liuquan
Favorite  |  View/Download：73/0  |  Submit date：2022/04/02
Quantile regression  sparsity  ultrahigh-dimensional data  variable screening  
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model 期刊论文
JOURNAL OF MACHINE LEARNING RESEARCH, 2021, 卷号: 22, 页码: 39
Authors:  Hao, Meiling;  Qu, Lianqiang;  Kong, Dehan;  Sun, Liuquan;  Zhu, Hongtu
Favorite  |  View/Download：102/0  |  Submit date：2021/10/26
High dimension  Imaging genetics  Matrix linear regression  Optimal mini-max rate  Variable selection  
A novel model for the X-chromosome inactivation association on survival data 期刊论文
STATISTICAL METHODS IN MEDICAL RESEARCH, 2020, 卷号: 29, 期号: 5, 页码: 1305-1314
Authors:  Han, Dongxiao;  Hao, Meiling;  Qu, Lianqiang;  Xu, Wei
Favorite  |  View/Download：99/0  |  Submit date：2020/06/30
Cox model  genetic association test  frailty model  right-censored survival data  X-chromosome association  X-chromosome inactivation