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Robust model selection with covariables missing at random 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2021, 页码: 19
Authors:  Liang, Zhongqi;  Wang, Qihua;  Wei, Yuting
Favorite  |  View/Download：77/0  |  Submit date：2022/04/02
Model selection  Inverse probability weight  Model misspecification  Missing at random  Kullback-Leibler divergence  Robust  
A beyond multiple robust approach for missing response problem 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021, 卷号: 155, 页码: 13
Authors:  Wang, Qihua;  Su, Miaomiao;  Wang, Ruoyu
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Model misspecification  Curse of dimension  Inverse probability weight  Imputation  
WEIGHTED APPROXIMATE FEKETE POINTS: SAMPLING FOR LEAST-SQUARES POLYNOMIAL APPROXIMATION 期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2018, 卷号: 40, 期号: 1, 页码: A366-A387
Authors:  Guo, Ling;  Narayan, Akil;  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download：95/0  |  Submit date：2018/07/30
uncertainty quantification  least-squares approximations  Fekete points  QR decomposition  
An additive subdistribution hazard model for competing risks data 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 23, 页码: 11667-11687
Authors:  Li, Wanxing;  Xue, Xiaoming;  Long, Yonghong
Favorite  |  View/Download：89/0  |  Submit date：2018/07/30
Additive hazard model  Competing risks  Cumulative incidence function  Estimating equation  Inverse probability of censoring weight  Proportional hazard model  62N01  62N02  62F12  
Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2010, 卷号: 101, 期号: 9, 页码: 2078-2090
Authors:  Huang, Bin;  Wang, Qihua
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Transformation models  Missing covariates  Weighted estimator  Kernel smoothing  
M-estimators based on inverse probability weighted estimating equations with response missing at random 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2007, 卷号: 36, 期号: 6, 页码: 1091-1103
Authors:  Wang, Qihua
Favorite  |  View/Download：98/0  |  Submit date：2018/07/30
imputation  inverse probability weight  missing data