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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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Wang Qihua [3]
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An adaptive group LASSO approach for domain selection in functional generalized linear models
期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2022, 卷号: 219, 页码: 13-32
Authors:
Sun, Yifan
;
Wang, Qihua
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View/Download:84/0
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Submit date:2022/06/21
Functional data
Adaptive LASSO
Group LASSO
Null region detection
B-spline
Importance-Penalized Joint Graphical Lasso (IPJGL): differential network inference via GGMs
期刊论文
BIOINFORMATICS, 2022, 卷号: 38, 期号: 3, 页码: 770-777
Authors:
Leng, Jiacheng
;
Wu, Ling-Yun
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View/Download:107/0
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Submit date:2022/04/02
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
Authors:
Han, Dongxiao
;
Qu, Lianqiang
;
Sun, Liuquan
;
Sun, Yanqing
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View/Download:105/0
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Submit date:2021/10/26
Adaptive LASSO
additive hazards model
competing risks
continuous mark
mark-specific vaccine effects
survival data
ORACLE INEQUALITIES AND SELECTION CONSISTENCY FOR WEIGHTED LASSO IN HIGH-DIMENSIONAL ADDITIVE HAZARDS MODEL
期刊论文
STATISTICA SINICA, 2017, 卷号: 27, 期号: 4, 页码: 1903-1920
Authors:
Zhang, Haixiang
;
Sun, Liuquan
;
Zhou, Yong
;
Huang, Jian
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View/Download:99/0
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Submit date:2018/07/30
High-dimensional covariates
oracle inequalities
sign consistency
survival analysis
variable selection
Penalized estimation equation for an extended single-index model
期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2017, 卷号: 69, 期号: 1, 页码: 169-187
Authors:
Li, Yongjin
;
Zhang, Qingzhao
;
Wang, Qihua
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View/Download:120/0
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Submit date:2018/07/30
Single-index model
Penalized estimating equations
Variable selection
Oracle property
Smoothly clipped absolute deviation
Adaptive lasso
Dimension reduction based linear surrogate variable approach for model free variable selection
期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2016, 卷号: 169, 页码: 13-26
Authors:
Dai, Pengjie
;
Ding, Xiaobo
;
Wang, Qihua
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View/Download:109/0
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Submit date:2018/07/30
Adaptive LASSO
Central subspace
Linear surrogate variable
Sufficient dimension reduction
Variable selection