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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
作者:  Qu, Lianqiang;  Hao, Meiling;  Sun, Liuquan
收藏  |  浏览/下载：135/0  |  提交时间：2022/04/02
Quantile regression  sparsity  ultrahigh-dimensional data  variable screening  
Variable selection for a mark-specific additive hazards model using the adaptive LASSO 期刊论文
STATISTICAL METHODS IN MEDICAL RESEARCH, 2021, 页码: 15
作者:  Han, Dongxiao;  Qu, Lianqiang;  Sun, Liuquan;  Sun, Yanqing
收藏  |  浏览/下载：151/0  |  提交时间：2021/10/26
Adaptive LASSO  additive hazards model  competing risks  continuous mark  mark-specific vaccine effects  survival data  
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：170/0  |  提交时间：2021/04/26
Cox model  Kernel smoothing  Non-marginal screening  Ultrahigh-dimensionality  Varying coefficient  
Identification of local sparsity and variable selection for varying coefficient additive hazards models 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2018, 卷号: 125, 页码: 119-135
作者:  Qu, Lianqiang;  Song, Xinyuan;  Sun, Liuquan
收藏  |  浏览/下载：240/0  |  提交时间：2018/07/30
Additive hazards models  Group penalty  Kernel smoothing  Local sparsity  Oracle property  Varying coefficients