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A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, 卷号: 168, 页码: 14
作者:  Su, Miaomiao;  Wang, Qihua
收藏  |  浏览/下载：122/0  |  提交时间：2022/04/02
High dimensions  Missing at random  Marginal response quantile  Optimal weights  Selection probability function  
Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021, 卷号: 160, 页码: 18
作者:  Wei, Yuting;  Wang, Qihua;  Duan, Xiaogang;  Qin, Jing
收藏  |  浏览/下载：128/0  |  提交时间：2021/10/26
Pseudo empirical likelihood  Missing covariates  Bias correction  
A beyond multiple robust approach for missing response problem 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021, 卷号: 155, 页码: 13
作者:  Wang, Qihua;  Su, Miaomiao;  Wang, Ruoyu
收藏  |  浏览/下载：144/0  |  提交时间：2021/04/26
Model misspecification  Curse of dimension  Inverse probability weight  Imputation  
Empirical likelihood calibration estimation for the median treatment difference in observational studies 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2011, 卷号: 55, 期号: 4, 页码: 1596-1609
作者:  Wang, Qihua;  Lai, Peng
收藏  |  浏览/下载：126/0  |  提交时间：2018/07/30
Calibration  Casual inference  Empirical likelihood  Median treatment effect  Missing data  Selection bias