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SUFFICIENT DIMENSION REDUCTION UNDER DIMENSION-REDUCTION-BASED IMPUTATION WITH PREDICTORS MISSING AT RANDOM 期刊论文
STATISTICA SINICA, 2019, 卷号: 29, 期号: 4, 页码: 1751-1778
作者:  Yang, Xiaojie;  Wang, Qihua
收藏  |  浏览/下载:260/0  |  提交时间:2020/01/10
Kernel imputation  missing at random  missing predictors  sliced inverse regression  sufficient dimension reduction  
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:148/0  |  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:118/0  |  提交时间:2018/07/30
Central mean subspace  Imputation  Kernel regression  Missing response  Weighted-bandwidth  
Semiparametric Proportional Mean Residual Life Model With Censoring Indicators Missing at Random 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2015, 卷号: 44, 期号: 24, 页码: 5161-5188
作者:  Chen, Xiaolin;  Wang, Qihua
收藏  |  浏览/下载:127/0  |  提交时间:2018/07/30
censored data  kernel smoothing  mean residual life  missing censoring indicators  weighted estimating equations