中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共6条，第1-6条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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：126/0  |  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：143/0  |  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：162/0  |  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：177/0  |  提交时间：2021/10/26
High dimension  Imaging genetics  Matrix linear regression  Optimal mini-max rate  Variable selection  
The Cox-Aalen model for recurrent-event data with a dependent terminal event 期刊论文
STATISTICA NEERLANDICA, 2019, 卷号: 73, 期号: 2, 页码: 234-255
作者:  Qu, Lianqiang;  Sun, Liuquan
收藏  |  浏览/下载：197/0  |  提交时间：2020/01/10
Cox-Aalen model  estimating equation  recurrent events  share frailty  terminal event  
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：226/0  |  提交时间：2018/07/30
Additive hazards models  Group penalty  Kernel smoothing  Local sparsity  Oracle property  Varying coefficients