您的位置是:首页 > 新闻公告 >新闻活动

统计与大数据研究院2016—2017年度建设成果要点

2017-12-04


2016-2017年度建设成果要点


建设内容
成果

全职教师10人:艾春荣教授、胡飞芳教授、朱利平教授、郭绍俊准聘副教授、褚挺进助理教授、张政助理教授、马维助理教授、杭汉源助理教授、何珂俊助理教授、贺诗源助理教授。

高层次团队4人:艾春荣(千人计划)、胡飞芳(千人计划)、Oliver Linton (千人计划)、李润泽(特聘教授,国际统计学顶级期刊前主编,著名统计学家)。

双博士学位项目

   1、 首批92016级博士生研究生已经入学一年有余并已于今年八月底全部顺利通过中国人民大学——美国德克萨斯A&M大学的两校博士研究生资格考试(综合考试),将于2018年赴美继续攻读博士学业。

   2、 第二批122017级博士研究生目前已入学。第三批112018级直博生目前已完成预录取工作,将于明年9月入学。

   3、 创新教学模式,淡化知识传递,强调创新思维能力培养,开创中外合作授课的新模式。

    4我院开设的6门课程已成功获得美国德克萨斯A&M大学认证。

以中国人民大学为第一署名单位,在国际一流期刊上发表或接受论文18篇。

一、国际顶级期刊(8篇)

1、Xingdong FENGandLi-Ping Zhu(2016). Estimation and Testing of Varying Coefficients in Quantile Regression.Journal of the American Statistical Association111(513):266-274.

2、Kelin Xu, Wenshen Guo, Momiao Xiong and Li-Ping Zhu(2016). An Estimating Equation Approach to Dimension Reduction in Longitudinal Data.Biometrika103 (1):189-203.

3、Liping ZHU, Kai XU, Runze LI and Wei ZHONG2017Projection correlation between two random variables. Biometrika, to appear.

4、Liping ZHUYaowu ZHANG and Kai XU2017Measuring and testing for interval quantile dependence. The Annals of Statistics to appear

5、Guo, S., Wang, Y. and Yao, Q. (2016). High dimensional and banded vector autoregressions. Biometrika, 103, 889-903.

6、Guo, S., Box, J., and Zhang, W. (2017). A dynamic structure for high dimensional covariance matrices and its application in portfolio allocation. Journal of the American Statistical Association, 517, V112, 235-253.

7、Qiao, X., Guo, S. and James, G. (2017). Functional Graphical Models. Forthcoming in Journal of the American Statistical Association, to appear.      

8、He, K., Lian, H., Ma, S., and Huang, J. Z. (2017). Dimension reduction and variable selection in multivariate varying-coefficient models with a large number of covariates. Journal of the AmericanStatistical Association, to appear

二、国际一类期刊论文(5篇)

9、Wei Zhong,Liping Zhu, Runze Li and Hengjian Cui (2016). Regularized quantile regression and robust feature screening for single index models.Statistica Sinica,26:69-95.

10、Yeqing ZHOULiping ZHU2017Model-free feature screening for ultrahigh dimensional data through a modified Blum-Kiefer- Rosenblatt correlation. Statistica Sinica ,to appear.

11、Chen, C. S., Zhu, J. and Chu, T.. A generalized instability measure for geostatistical regression model selection. Statistica Sinica. to appear.

12、Mengyun WULiping ZHU and Xingdong FENG 2017Network-based feature screening with applications to genome data. The Annals of Applied Statistics to appear.

13、Ludwig, G., Chu, T.*, Zhu, J, Wang, H. and Koehler, K (2017). Static and roving sensor data fusion for spatio-temporal mapping with application to occupational exposure assessment. Annals of Applied Statistics. 11, 139-160.

三、国际一流期刊论文(5篇)   

14、Xu, W.F., Hu, F. and Cheung, S.H. (2017). Adaptive Designs for Non-inferiority Trials with Multiple Experimental Treatments. Statistical Methods in Medical Research.,to appear.

15、Yang, H., Lu, K. Lyu, X. and Hu, F. (2017). Two-Way Partial AUC and Its Properties. Statistical Methods in Medical Research, to appear.

16、Jianxuan LIU, Yanyuan MALiping ZHU and Raymond J. Carroll2017Estimation and inference of error-prone covariate effect in presence of confounding variables. Electronic Journal of Statistics, 11480-501.

17、Xiao, Y.,Hu, F.,Liu, Z.,Lu, F.,Zhao Y. and Gao R. (2017). Application of adaptive designs in clinical trials of developing new drugs. Chinese Journal of New Drugs, 26, 29-33.

18、Xiao, Y., Liu, Z. and Hu, F. (2017). Bayesian doubly adaptive randomization in clinical trials. Science in China, Series A, to appear.

1、 立项“社会经济大数据技术与应用创新引智基地”(简称“111”引智基地)和“生物医学统计创新引智教学与研究平台”。

2、 举办了60多场规模不等的学术研讨会,共计邀请近百位专家作主题报告

3、 与论答教育公司成立“论答教育大数据研究中心”。

4、 与北京理工大学成立“北京大数据联合教育中心”。

5、 与北京腾云天下科技有限公司(Talking Data)签署战略合作协议。

6、 与上海数喆数据科技有限公司合作建立小微商户大数据库。



            附件:统计与大数据研究院2016-2017年年刊