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A FUNCTIONAL INFORMATION CRITERION FOR REGION SELECTION IN FUNCTIONAL LINEAR MODELS 期刊论文
STATISTICA SINICA, 2022, 卷号: 32, 期号: 2, 页码: 653-671
作者:  Huang, Yunxiang;  Wang, Qihua
收藏  |  浏览/下载：75/0  |  提交时间：2023/02/07
functional data  information criterion  model selection  spline  support estimate  variable selection  
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：138/0  |  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：139/0  |  提交时间：2022/04/02
EM algorithm  interval censoring  minimum information criterion  multivariate analysis  transformation models  
Robust model selection with covariables missing at random 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2021, 页码: 19
作者:  Liang, Zhongqi;  Wang, Qihua;  Wei, Yuting
收藏  |  浏览/下载：147/0  |  提交时间：2022/04/02
Model selection  Inverse probability weight  Model misspecification  Missing at random  Kullback-Leibler divergence  Robust  
Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021, 卷号: 160, 页码: 18
作者:  Wei, Yuting;  Wang, Qihua;  Duan, Xiaogang;  Qin, Jing
收藏  |  浏览/下载：142/0  |  提交时间：2021/10/26
Pseudo empirical likelihood  Missing covariates  Bias correction  
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：153/0  |  提交时间：2021/10/26
Adaptive LASSO  additive hazards model  competing risks  continuous mark  mark-specific vaccine effects  survival data  
Group-Sparse SVD Models via L-1- and L-0-norm Penalties and their Applications in Biological Data 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 2, 页码: 536-550
作者:  Min, Wenwen;  Liu, Juan;  Zhang, Shihua
收藏  |  浏览/下载：185/0  |  提交时间：2021/04/26
Sparse SVD  low-rank matrix decomposition  group-sparse penalty  overlapping group-sparse penalty  coordinate descent method  alternating direction method of multipliers (ADMM)  data mining  
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：195/0  |  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：227/0  |  提交时间：2020/05/24
frailty models  informative censoring  proportional hazards models  recurrent event  survival analysis  variable selection  
Variable selection for random effects two-part models 期刊论文
STATISTICAL METHODS IN MEDICAL RESEARCH, 2019, 卷号: 28, 期号: 9, 页码: 2697-2709
作者:  Han, Dongxiao;  Liu, Lei;  Su, Xiaogang;  Johnson, Bankole;  Sun, Liuquan
收藏  |  浏览/下载：226/0  |  提交时间：2020/01/10
High dimensional  mixed effects  pharmacogenetics  precision medicine  tuning parameter  variable selection