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Joint feature screening for ultra-high-dimensional sparse additive hazards model by the sparsity-restricted pseudo-score estimator 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2019, 卷号: 71, 期号: 5, 页码: 1007-1031
作者:  Chen, Xiaolin;  Liu, Yi;  Wang, Qihua
收藏  |  浏览/下载：201/0  |  提交时间：2020/01/10
Additive hazards model  Joint feature screening  Iterative hard-thresholding algorithm  Sure screening property  
Simultaneous variable selection and class fusion with penalized distance criterion based classifiers 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2019, 卷号: 133, 页码: 138-152
作者:  Sheng, Ying;  Wang, Qihua
收藏  |  浏览/下载：139/0  |  提交时间：2019/12/13
Linear discriminant analysis  Discriminant directions  Variable selection  Class fusion  Misclassification error rate  
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：208/0  |  提交时间：2018/07/30
Conditional distance correlation  Feature selection  Sure screening property  High-dimensional data  
Cluster feature selection in high-dimensional linear models 期刊论文
RANDOM MATRICES-THEORY AND APPLICATIONS, 2018, 卷号: 7, 期号: 1, 页码: 23
作者:  Lin, Bingqing;  Pang, Zhen;  Wang, Qihua
收藏  |  浏览/下载：176/0  |  提交时间：2018/07/30
Variable selection  variable screening  SIS  elastic net  
Stable prediction in high-dimensional linear models 期刊论文
STATISTICS AND COMPUTING, 2017, 卷号: 27, 期号: 5, 页码: 1401-1412
作者:  Lin, Bingqing;  Wang, Qihua;  Zhang, Jun;  Pang, Zhen
收藏  |  浏览/下载：175/0  |  提交时间：2018/07/30
Model averaging  Variable selection  Penalized regression  Screening  
Dimension reduction estimation for probability density with data missing at random when covariables are present 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2017, 卷号: 181, 页码: 11-29
作者:  Deng, Jianqiu;  Wang, Qihua
收藏  |  浏览/下载：150/0  |  提交时间：2018/07/30
Kernel density estimation  Kernel regression  Dimension reduction  Missing at random  Asymptotic normality  
Mean response estimation with missing response in the presence of high-dimensional covariates 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 2, 页码: 628-643
作者:  Li, Yongjin;  Wang, Qihua;  Zhu, Liping;  Ding, Xiaobo
收藏  |  浏览/下载：122/0  |  提交时间：2018/07/30
Central mean subspace  Imputation  Kernel regression  Missing response  Weighted-bandwidth  
An Extended Single-index Model with Missing Response at Random 期刊论文
SCANDINAVIAN JOURNAL OF STATISTICS, 2016, 卷号: 43, 期号: 4, 页码: 1140-1152
作者:  Wang, Qihua;  Zhang, Tao;  Haerdle, Wolfgang Karl
收藏  |  浏览/下载：153/0  |  提交时间：2018/07/30
asymptotic normality  estimating equations  missing data  single-index models