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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：123/0  |  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：129/0  |  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：147/0  |  提交时间：2021/04/26
Model misspecification  Curse of dimension  Inverse probability weight  Imputation  
A simple multivariate ARCH model specified by random coefficients 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2006, 卷号: 51, 期号: 3, 页码: 1779-1802
作者:  Fong, P. W.;  Li, W. K.;  An, Hong-Zhi
收藏  |  浏览/下载：93/0  |  提交时间：2018/07/30
likelihood ratio test  maximum likelihood estimation  multivariate autoregressive conditional heteroscedasticity  nonconstant correlation  random coefficient model  Hadamard product  star product