崔霞

发布日期:2020-09-01浏览量:

职称 教授、博士生导师 Email cuixia@gzhu.edu.cn
研究领域 缺失数据分析,因果推断,高维数据建模

 

崔霞  教授                                                        

   

Emailcuixia@gzhu.edu.cn

研究领域: 缺失数据分析,因果推断,高维数据建模    

   

  个人简介    

崔霞,理学博士,教授。中国现场统计学会广东省分会常务理事;中国现场统计学会资源与环境分会理事。长期致力于缺失数据分析、因果推断、高维数据建模等方面的研究,在国内外学术刊物上《Annals of Statistics》、《Biometrika》《Scandinavian Journal of Statistics》、《Computational Statistics and Data Analysis》、《Science in China Mathematics》发表SCI检索期刊论文20余篇,其中1篇是WOS上的高被引论文。  

 

教育背景    

           

1999.092003.06,山东大学,概率论与数理统计本科  

2003.092008.06,山东大学,概率论与数理统计硕博连读  

   

职业经历    

             

1.学术工作经历    

2008.082009.07,香港浸会大学数学系,博士后  

2009.082012.08,中山大学数学与计算科学学院,讲师  

2012.08至今,771771威尼斯.cm大全,讲师/副教授/教授  

2.访学工作经历    

2014.092015.08,东北师范大学数学与统计学院,访问学者  

2016.072017.07,美国宾州州立大学统计系,访问学者  

   

教授课程    

             

本科生:多元统计分析,概率论与数理统计,回归分析  

研究生:高等数理统计,现代统计方法,现代回归分析  

   

科研服务    

             

1】国家自然科学基金面上项目,主持,不可忽略缺失数据模型的可识别性和双重稳健估计(编号:118711732019-2022  

2】国家自然科学基金面上项目,主持,高维生存数据的统计推断(编号:11471086),2015-2018  

3】广东省高校优秀青年教师计划项目,主持,大数据时代下的风险管理模型(编号:Yq201404),2015-2017  

4】国家自然科学基金青年项目,主持,基于估计方程方法推导的半参数统计模型(编号:1110144),2012-2014  

5】教育部博士生导师项目,主持,协变量调整判别分析研究(编号:20100171120042),2011-2013  

6】国家自然科学基金天元青年基金项目,主持,协变量回归估计与假设检验(编号:11026194),2011-2011  

7】广东省教育厅项目,主持,回归模型中混淆因素的识别与消除(编号:LYM09011),2010-2012  

   

研究成果    

             

1Xia Cui, Runze Li, Guangren Yang, Wang Zhou  (2020+). Empirical likelihood test for a large-dimensional mean vector. Biometrika.

6Jun ZHANG*, Xia CUI and  Heng PENG (2020), Estimation and hypothesis test for partial linear single-index multiplicative models.  Annals of the Institute of Statistical Mathematics.  (DOI: 10.1007/s10463-019-00706-6)  

7Xia Cui, Weihua Zhao, Heng Lian, Hua Liang (2019). Pursuit of dynamic structure in quantile additive models with longitudinal data. Computational Statistics and Data Analysis 130, 42-60.  

8Guangren Yang, Xia Cui* (2019). Trimmed estimators for large dimensional sparse covariance matrices. Random Matrices: Theory and Applications 8(1), 1950003-1-14.  

9Jun ZHANG, Junpeng ZHU, Yan ZHOU*, Xia CUI and Tao LU (2018+), Multiplicative Regression Models with Distortion Measurement Errors. Statistical Papers,  (Accepted, DOI: 10.1007/s00362-018-1020-2)  

10Jun ZHANG, Yan ZHOU*, Xia CUI and Wangli XU (2018). Semiparametric Quantile Estimation for Varying Coefficient Partially Linear Measurement Errors Models, Brazilian Journal of Probability and Statistics, 32(3), 616-656.  

11Xia Cui, Ying Lu, Heng Peng (2017). Estimation of partially linear regression models under the partial consistency property. Comput. Stat. Data. An. 115, 103-121.  

13Cui, X., Guo, J. H. and Yang, G. R. (2017). On the identifiability and estimation of generalized linear models with parametric nonignorable missing data mechanism. Comput. Stat. Data. An. 107, 64-83.  

14Cui, X. and Zhou, Y. (2017). Estimated conditional score function for missing mechanism model with nonignorable nonresponse. Science China Mathematics 60(7), 1197-1218.  

15Yang, G. R., Hou, S. M. and Cui, X.* (2017). Empirical Likelihood Confidence Regions In The Single Index Model With Growing Dimensions. Communications in Statistics: Theory and Method 46(15), 7562-7579.  

16Cui, X., Peng, H., Wen, S. Q. and Zhu, L. X. (2013). Component Selection in the Additive Regression Model. Scand. J. Statist. 40(3), 491-510.  

17Lin, L., Zhang, Q., Li, F. and Cui, X. (2011). Simulation-based two stage estimation for multiple nonparametric regression. Comput. Stat. Data. An. 55(3), 1367-1378.  

18Cui, X., Hardle, W. and Zhu, L. X. (2010). The EFM approach for single-index models. Ann. Statist. 39(3), 1658-1688.  

19Zhu, L., Lin, L. Cui, X. and Li, G. R. (2010). Bias-corrected empirical likelihood in a multi-link semiparametric model. J. Multivariate Anal. 101, 820-868.  

20Li, F., Lin, L. and Cui, X. (2010). Covariate-adjusted partially linear regression models. Commun. Stat-Theor. M. 39(6), 1054-1074.  

21Cui, X., Guo, W. S., Lin, L. and Zhu, L. X. (2009). Covariate-adjusted nonlinear regression. Ann. Statist. 37(4), 1839-1870.  

22Lin, L., Cui, X. and Zhu, L. X. (2009). An adaptive two-stage estimation method for additive models. Scand. J. Statist. 36(2), 248-269(22)  

23Cui, X., Lin, L. and Yang, G. R. (2008). An Extended Projection Data Depth and Its Applications to Discrimination. Commun. Stat-Theor. M. 37(14), 2276-2290.  

24Lin, L. and Cui, X. (2006). Stahel-Donoho kernel estimation for fixed design nonparametric regression models. Sci. China. Ser. A. 49(12), 1879-1896.  

   

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