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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：128/0  |  提交时间：2022/04/02
Quantile regression  sparsity  ultrahigh-dimensional data  variable screening  
Simultaneous variable selection in regression analysis of multivariate interval-censored data 期刊论文
BIOMETRICS, 2021, 页码: 12
作者:  Sun, Liuquan;  Li, Shuwei;  Wang, Lianming;  Song, Xinyuan;  Sui, Xuemei
收藏  |  浏览/下载：130/0  |  提交时间：2022/04/02
EM algorithm  interval censoring  minimum information criterion  multivariate analysis  transformation models  
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：144/0  |  提交时间：2021/10/26
Adaptive LASSO  additive hazards model  competing risks  continuous mark  mark-specific vaccine effects  survival data  
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：181/0  |  提交时间：2021/10/26
High dimension  Imaging genetics  Matrix linear regression  Optimal mini-max rate  Variable selection  
Variable selection in joint frailty models of recurrent and terminal events 期刊论文
BIOMETRICS, 2020, 页码: 10
作者:  Han, Dongxiao;  Su, Xiaogang;  Sun, Liuquan;  Zhang, Zhou;  Liu, Lei
收藏  |  浏览/下载：213/0  |  提交时间：2020/05/24
frailty models  informative censoring  proportional hazards models  recurrent event  survival analysis  variable selection