正文


一、个人简介

陈雪蓉,西南财经大学LD乐动体育·(中国)官方网站/统计研究中心副教授、博士生导师、四川省学术技术带头人后备人选,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。云南大学和中科院数学与系统科学研究院联合培养博士,美国密苏里大学统计系、乔治城大学生物统计博士后,美国密歇根大学、香港城市大学、香港大学访问学者。论文发表在JASA, Biometrics, Journal of Business & Economic Statistic等统计学、生物统计学、计量经济学知名期刊。主持国家自然科学基金两项及国家自然科学基金重点项目子课题一项。

联系方式:chenxuerong@swufe.edu.cn

研究方向:机器学习、大数据分析,隐私保护、生物统计、风险管理


二、学术成果

[1] Lan,W., Chen, X., Zou, T. and Tsai, C-L. Imputations for High Missing Rate Data in Covariates via Semi-supervised Learning Approach. Journal of Business and Economic Statistics , forthcoming

[2] Chen, X., Leung, H. and Qin, J. Nonignorable missing data, single index propensity score and a profile synthetic distribution function method. Journal of Business and Economic Statistics ,forthcoming

[3] 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 ,forthcoming

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] Chen, X., Li, H, Lin, H, Liang, H.(2019).Functional response regression analysis. Journal of Multivariate Analysis, 169, 218-233.

[10] Hong,G.,Chen, X., Christiani, D. and Li Y.(2017). Integrated Powered Density: Screening Ultrahigh-Dimensional Covariates with Survival Outcomes. Biometrics, 74, 421-429.

[11] 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.

[12] 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.

[13] 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.

[14] 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.

[15]Chen,X.*, Tang,N. and Zhou,Y.(2016). Quantile regression of longitudinal data with informative observation times. Journal of Multivariate Analysis, 144, 176-188.

[16]Chen, X., Wan,A. and Zhou, Y.(2015) Efficient quantile regression analysis with missing observations. Journal of the American statistical Association, 110, 723-741.

[17] 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

[18] 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.

[19] 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.

[20] Chen, X. and Zhou, Y.(2012) Quantile Regression for Right-Censored and Length-Biased Data. Acta Mathematicae Apllicatae Sinica(English Series) , 28, 443-462.

[21]  Zhang,F, Chen, X. and Zhou, Y. Proportional Hazards Models with Varying Coecients for Right-Censored Length-Biased Data. Lifetime Data Analysis ,20, 132-157.

[22] 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.

[23] 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.

[24] 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.

[25] Li,Y., Zhao, L. and Chen, X. (2010). Positive periodic solutions of functional differential equations with impulse on time scales. Journal of Applied Mathematics and Computing, 34, 495-510.

[26] Li,Y., Zhao, L. and Chen, 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

[1]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.

[2] 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

[3] 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

[4] 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