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Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2021, 卷号: 29, 期号: 5, 页码: 1365-1384
作者:  Liao, Yulei;  Ming, Pingbing
收藏  |  浏览/下载：154/0  |  提交时间：2021/06/01
Deep Nitsche Method  Deep Ritz Method  neural network approximation  mixed boundary conditions  curse of dimensionality  
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  
Estimation of Partially Linear Panel Data Models with Cross-Sectional Dependence 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2021, 页码: 12
作者:  Huang, Bai;  Sun, Yuying;  Wang, Shouyang
收藏  |  浏览/下载：120/0  |  提交时间：2021/04/26
Common correlated effects  common factors  cross-sectional dependence  panel data  semi-parametric estimation  
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