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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
作者:  Liang, Zhongqi;  Wang, Qihua;  Wei, Yuting
收藏  |  浏览/下载：131/0  |  提交时间：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
作者:  Wang, Qihua;  Su, Miaomiao;  Wang, Ruoyu
收藏  |  浏览/下载：145/0  |  提交时间：2021/04/26
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
作者:  Guo, Ling;  Narayan, Akil;  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：151/0  |  提交时间：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
作者:  Li, Wanxing;  Xue, Xiaoming;  Long, Yonghong
收藏  |  浏览/下载：124/0  |  提交时间：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
作者:  Huang, Bin;  Wang, Qihua
收藏  |  浏览/下载：121/0  |  提交时间：2018/07/30
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
作者:  Wang, Qihua
收藏  |  浏览/下载：129/0  |  提交时间：2018/07/30
imputation  inverse probability weight  missing data