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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
Authors:  Wei, Yuting;  Wang, Qihua;  Duan, Xiaogang;  Qin, Jing
Favorite  |  View/Download:10/0  |  Submit date:2021/10/26
Pseudo empirical likelihood  Missing covariates  Bias correction  
A class of weighted estimating equations for additive hazard models with covariates missing at random 期刊论文
SCIENCE CHINA-MATHEMATICS, 2021, 页码: 20
Authors:  Jin, Jin;  Ye, Peng;  Sun, Liuquan
Favorite  |  View/Download:7/0  |  Submit date:2021/10/26
additive hazard model  censored data  kernel smoothing  missing at random  weighted estimating equation  
Cross-validation-based model averaging in linear models with response missing at random 期刊论文
STATISTICS & PROBABILITY LETTERS, 2021, 卷号: 171, 页码: 6
Authors:  Wei, Yuting;  Wang, Qihua
Favorite  |  View/Download:8/0  |  Submit date:2021/10/26
Missing responses  Model averaging  Cross-validation  Asymptotic optimality  
Model averaging for linear models with responses missing at random 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020, 页码: 19
Authors:  Wei, Yuting;  Wang, Qihua;  Liu, Wei
Favorite  |  View/Download:45/0  |  Submit date:2020/09/23
Missing responses  Missing at random  Model averaging  Asymptotic optimality  
Conditional probability estimation based classification with class label missing at random 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2020, 卷号: 176, 页码: 13
Authors:  Sheng, Ying;  Wang, Qihua
Favorite  |  View/Download:49/0  |  Submit date:2020/05/24
Binary classification  Conditional probability estimation  Missing at random  Reproducing kernel Hilbert space  
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
Authors:  Yang, Xiaojie;  Wang, Qihua
Favorite  |  View/Download:108/0  |  Submit date: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
Authors:  Deng, Jianqiu;  Wang, Qihua
Favorite  |  View/Download:39/0  |  Submit date:2018/07/30
Kernel density estimation  Kernel regression  Dimension reduction  Missing at random  Asymptotic normality  
A resampling method by perturbing the estimating functions for quantile regression with missing data 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2017, 卷号: 46, 期号: 8, 页码: 6661-6671
Authors:  Zhang, Li;  Lin, Cunjie;  Zhou, Yong
Favorite  |  View/Download:21/0  |  Submit date:2018/07/30
Bootstrap  Estimating equations  Missing data  Resampling method  Quantile regression  
An Extended Single-index Model with Missing Response at Random 期刊论文
SCANDINAVIAN JOURNAL OF STATISTICS, 2016, 卷号: 43, 期号: 4, 页码: 1140-1152
Authors:  Wang, Qihua;  Zhang, Tao;  Haerdle, Wolfgang Karl
Favorite  |  View/Download:42/0  |  Submit date:2018/07/30
asymptotic normality  estimating equations  missing data  single-index models  
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
Authors:  Dai, Pengjie;  Ding, Xiaobo;  Wang, Qihua
Favorite  |  View/Download:31/0  |  Submit date:2018/07/30
Adaptive LASSO  Central subspace  Linear surrogate variable  Sufficient dimension reduction  Variable selection