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A non-marginal variable screening method for the varying coefficient Cox model 期刊论文
STATISTICS AND ITS INTERFACE, 2021, 卷号: 14, 期号: 2, 页码: 197-209
作者:  Qu, Lianqiang;  Sun, Liuquan
收藏  |  浏览/下载：159/0  |  提交时间：2021/04/26
Cox model  Kernel smoothing  Non-marginal screening  Ultrahigh-dimensionality  Varying coefficient  
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
作者:  Hao, Meiling;  Qu, Lianqiang;  Kong, Dehan;  Sun, Liuquan;  Zhu, Hongtu
收藏  |  浏览/下载：171/0  |  提交时间：2021/10/26
High dimension  Imaging genetics  Matrix linear regression  Optimal mini-max rate  Variable selection  
Joint feature screening for ultra-high-dimensional sparse additive hazards model by the sparsity-restricted pseudo-score estimator 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2019, 卷号: 71, 期号: 5, 页码: 1007-1031
作者:  Chen, Xiaolin;  Liu, Yi;  Wang, Qihua
收藏  |  浏览/下载：195/0  |  提交时间：2020/01/10
Additive hazards model  Joint feature screening  Iterative hard-thresholding algorithm  Sure screening property