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Surrogate-variable-based model-free feature screening for survival data under the general censoring mechanism 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2021, 页码: 19
作者:  Zhang, Jing;  Wang, Qihua;  Wang, Xuan
收藏  |  浏览/下载：148/0  |  提交时间：2021/10/26
Feature screening  Model-free  Sure screening property  Survival data  Ultrahigh dimensionality  
Feature screening under missing indicator imputation with non-ignorable missing response 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2020, 卷号: 149, 页码: 12
作者:  Zhang, Jing;  Wang, Qihua;  Kang, Jian
收藏  |  浏览/下载：194/0  |  提交时间：2020/06/30
Model-free  Non-ignorable nonresponse  Sure screening property  Ultrahigh dimensionality  Variable screening  
Model-free feature screening for ultrahigh dimensional classification 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2020, 卷号: 178, 页码: 12
作者:  Sheng, Ying;  Wang, Qihua
收藏  |  浏览/下载：166/0  |  提交时间：2020/06/30
Classification accuracy  The Bayes rule  Sure screening  Ultrahigh dimensional classification  
How to Make Model-free Feature Screening Approaches for Full Data Applicable to the Case of Missing Response? 期刊论文
SCANDINAVIAN JOURNAL OF STATISTICS, 2018, 卷号: 45, 期号: 2, 页码: 324-346
作者:  Wang, Qihua;  Li, Yongjin
收藏  |  浏览/下载：185/0  |  提交时间：2018/07/30
borrowing missingness information  missing data  ultrahigh dimensionality  variable screening  
Model-free feature screening for ultrahigh-dimensional data conditional on some variables 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2018, 卷号: 70, 期号: 2, 页码: 283-301
作者:  Liu, Yi;  Wang, Qihua
收藏  |  浏览/下载：207/0  |  提交时间：2018/07/30
Conditional distance correlation  Feature selection  Sure screening property  High-dimensional data  
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
作者:  Dai, Pengjie;  Ding, Xiaobo;  Wang, Qihua
收藏  |  浏览/下载：167/0  |  提交时间：2018/07/30
Adaptive LASSO  Central subspace  Linear surrogate variable  Sufficient dimension reduction  Variable selection