姓名：陈雪蓉
系所：数理统计系
职称：教授
一、个人简介
陈雪蓉，澳门尼威斯人官网(中国)有限公司/统计研究中心教授、博士生导师、澳门尼威斯人官网光华英才工程入选者，省级高层次人才，教育部“第八届高等学校科学研究优秀成果奖（人文社会科学）青年成果奖”获得者。中科院数学与系统科学研究院博士（联合培养），美国密苏里大学统计系、乔治城老员工物统计博士后，美国密歇根大学、香港城市大学、香港大学访问学者。论文发表于JASA, Biometrics, Journal of Business & Economic Statistic等统计学、生物统计学、计量经济学权威期刊。主持国家自然科学基金面上项目、青年项目、国家自然科学基金重点项目子课题、国家重点研发计划课题子课题各一项。
研究方向：大数据分析、隐私保护、生物统计、半参数非参数建模、复杂数据分析
教授课程：
本科生：多元统计分析、分类数据分析、非参数统计
硕士生：广义线性模型、非参数统计、隐私保护、生存分析
博士生：大样本理论、数据科学基础、缺失数据
招生信息：热忱欢迎有志从事统计学、数据科学行业、数学基础扎实、编程能力强（熟练掌握R、Python、Matlab或C之一）、具有团队合作精神及吃苦耐劳精神的本科生、硕士生及博士生加入我的团队。
二、学术成果
[26] Lan,W.,Chen, X., Zou, T. and Tsai, C-L.(2022) . Imputations for High Missing Rate Data in Covariates via Semi-supervised Learning Approach.Journal of Business and Economic Statistics, 40, 1282-1290.
[25]Chen, X., Leung, H. and Qin, J.(2022). Nonignorable missing data, single index propensity score and a profile synthetic distribution function method.Journal of Business and Economic Statistics, 40, 705-717.
[24]Chen, X.*, Diao, G. and Qin, J.(2020). Pseudo likelihood based estimation and testing of missing propensity function in nonignorable missing data problems.Scandinavia Journal of Statistics,47,1377-1400.
[23] Lee, J.,Chen, X.and Lam, E.(2020). Testing for change-point in the covariate effects based on the Cox proportional hazards model.Statistics in Medicine, 39,1473–1488.
[22] Hong. G.,Chen, X., Kang, J. and Li Y.(2020). The Lq-norm learning for ultrahigh-dimensional survival data: an integrative framework. Statistica Sinica,30, 1213-1233.
[21] Hu, N.,Chen, X.*and Sun, J.(2020). Semiparametric Analysis of Short-Term and Long-Term Hazard Ratio Models with Length-Biased and Right-Censored Data. Statistica Sinica,30, 487-509.
[20] Bai, F.,Chen, X., Chen, Y. and Huang, T.(2019). A General Quantile Residual Life Model forLength-Biased Right-Censored Data. Scandinavia Journal of Statistics,46, 1191-1205.
[19]Chen, X.*, Chen, Y., Wan, A. and Zhou, Y. (2018). On the asymptotic non-equivalence of efficient-GMM and MEL estimators in models with missing data. Scandinavian Journal of Statistics,46, 361-388.
[18]Chen, X., Li, H, Lin, H, Liang, H.(2019).Functional response regression analysis. Journal of Multivariate Analysis, 169, 218-233.
[17] Hong,G.,Chen, X., Christiani, D. and Li Y.(2017). Integrated Powered Density: Screening Ultrahigh-Dimensional Covariates with Survival Outcomes. Biometrics, 74, 421-429.
[16]Chen, X.and Hu, T and Sun, J(2017). Sieve Maximum Likelihood Estimation for the Proportional Hazards Model under Informative Censoring. Computational Statistics and Data Analysis,112,224-234.
[15]Chen, X*., Hu,N., Sun,J. (2017). Smooth composite likelihood analysis of length-biased and right-censored data with the AFT model. Statistica Sinica, 27,229-242.
[14] Fang, H.,Chen, X., Grant, S., Pei, X. and Tan, M(2015). Experimental design and statistical analysis for three drugs combination studies. Statistical Methods in Medical Research, 26,1261-1280.
[13]Chen,X.*,Liu,Y.,Sun,J. and Zhou, Y.(2016). Semiparametric quantile regression analysis of right-censored and length-biased failure time data with partially linear varying effects. Scandinavian Journal of Statistics, 43, 921-938.
[12]Chen,X.*, Tang,N. and Zhou,Y.(2016). Quantile regression of longitudinal data with informative observation times. Journal of Multivariate Analysis, 144, 176-188.
[11]Chen, X., Wan,A. and Zhou, Y.(2015) Efficient quantile regression analysis with missing observations. Journal of the American statistical Association, 110, 723-741.
[10] Hu,N.,Chen, X.*and Sun, J(2015). Regression analysis of length-biased and right-censored failure time data with missing covariates. Scandinavian Journal of Statistics, 42, 438-452
[9]Chen, X.*, Sun, J. and Liu, L.(2015) Semiparametric partial Linear quantile regression of longitudinal data with time varying coefficients and informative observation times. Statistics Sinica, 25, 1437-1458.
[8]Chen,X., Wan, A. and Zhou, Y.(2014). A quantile varying-coefficient regression approach to length-biased data modeling. Electronic Journal of Statistics, 8, 2514-2540.
[7]Chen, X. and Zhou, Y.(2012) Quantile Regression for Right-Censored and Length-Biased Data. Acta Mathematicae Apllicatae Sinica(English Series) , 28, 443-462.
[6] Zhang,F,Chen, X. and Zhou, Y. Proportional Hazards Models with Varying Coefficients for Right-Censored Length-Biased Data. Lifetime Data Analysis ,20, 132-157.
[5] Ma, Y., Wan, A.,Chen,X. and Zhou, Y. (2013). On estimation and inference in a partially linear hazard model with varying coefficients. Annals of the Institute of Statistical Mathematics, 66, 931-960.
[4]赵晓玲，陈雪蓉，周勇.(2012)基于非参估计的VaR和ES方法的应用研究.《数理统计与管理》,3,381-388.
[3] Li,Y.,Chen, X.and Zhao, L. (2009). Stability and existence of periodic solutions to delayed Cohen-Grossberg BAM neural networks with impulses on time scales. Neurocomputing, 72, 1621-1630.
[2] Li,Y., Zhao, L. andChen, X.(2010). Positive periodic solutions of functional differential equations with impulse on time scales. Journal of Applied Mathematics and Computing, 34, 495-510.
[1] Li,Y., Zhao, L. andChen, X.(2012). Existence of periodic solutions for neutral type cellular neural networks with delays. Applied Mathematical Modelling, 36, 1173-1183.
三、项目信息
[5]主持国家重点研发计划课题“分布式统计学习理论与方法”子课题“隐私保护下分布式数据的稳健统计推断研究”，2022YFA1003702，2022.12-2027.11.
[4]主持国家自然科学基金重点项目“半参数集成回归推断”子项目“函数型数据信号的提取及集成回归推断”，No. 11931014,2020.1-2024.12.
[3]主持国家自然科学基金面上项目：复杂数据下结构突变模型的统计推断及应用，No. 11871402,2019.1-2022.12.
[2]主持国家自然科学基金青年项目：两类不完全数据下基于秩以及非光滑估计方程的统计推断及其应用，No.11501461,2016.1-2018.12
[1]主持中央高校基本科研业务费专项资金-年度培育项目：生存数据下变点的统计推断研究，2018.1-2018.12
四、在读研究生情况
博士研究生：袁森林、张鹏、平雅露、申博延
硕士研究生：陈露、邱霁钊、陈怡、李浩、王桥、陈语嫣、刘书兵、罗钧洋、张容茜、杜佳美、杨荃
五、已毕业研究生情况
硕士毕业生：
张琪：中国移动通信集团河北有限公司
张筱：北京银行深圳分行
罗正锋：中国人民银行昆明中心支行调查统计处
陈藜苇：成都tap4fun 数据分析师
潘旭光：交通银行湖南分行金融科技部
