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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：149/0  |  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：120/0  |  提交时间：2018/07/30
Central mean subspace  Imputation  Kernel regression  Missing response  Weighted-bandwidth  
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  
Partially varying coefficient single-index additive hazard models 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2015, 卷号: 67, 期号: 5, 页码: 817-841
作者:  Wang, Xuan;  Wang, Qihua;  Zhou, Xiao-Hua Andrew
收藏  |  浏览/下载：151/0  |  提交时间：2018/07/30
Varying coefficient  Partially linear single-index  Two sets of estimating functions  Iteration  Asymptotic normality  
Fusion-Refinement Procedure for Dimension Reduction With Missing Response at Random 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2011, 卷号: 106, 期号: 495, 页码: 1193-1207
作者:  Ding, Xiaobo;  Wang, Qihua
收藏  |  浏览/下载：141/0  |  提交时间：2018/07/30
Central subspace  Complete-case analysis  Data-driven  Imputation