详细页 - 教学研究人员 - SOE

刘婧媛

副教授

美国宾夕法尼亚州立大学统计学博士

电话:0592-2580657

电子邮件:jingyuan@xmu.edu.cn

办公室:经济楼D307

Office Hours:


个人简介 研究成果 研究项目

刘婧媛,女,1986年12月生,山东青岛人,统计学博士。现为厦门大学经济学院统计系、王亚南经济研究院副教授,博士生导师。科研方面主要从事大数据及商业价值、高维数据的统计方法、因果推断、统计咨询、统计基因学等领域的工作,在Journal of American Statistical Association (JASA), Journal of Business & Economic Statistics (JEBS),Statistica Sinica等国际权威学术期刊发表论文20余篇;主持国家自然科学基金面上项目、青年项目等国家级、省部级多项科研项目;2018年入选福建省杰出青年科研人才培育计划。教学方面曾获厦门大学教学技能大赛暨英语教学比赛特等奖、宾夕法尼亚州立大学最佳教学奖等荣誉;参与编著《数据思维:从数据分析到商业价值》、《数据思维实践:从零经验到数据英才》等教材。
 
工作经历
2016.08至今,厦门大学经济学院统计系及王亚南经济研究院,副教授
2013.09 - 2016.08,厦门大学经济学院统计系及王亚南经济研究院,助理教授
2012.05 - 2012.08,美国Amgen制药公司,数据分析师(实习)
2011.08 - 2012.05,美国宾夕法尼亚州立大学统计咨询中心,统计咨询员
 
教育经历
2008.08 - 2013.05,美国宾夕法尼亚州立大学统计学专业,博士研究生
2004.09 - 2008.07,山东大学数学与系统科学学院统计学专业,本科

部分发表论文:(#:联合第一作者,*:通讯作者)

1.         “Model free Feature Screening and FDR Control with Knockoff Features.” Wanjun Liu#, Yuan Ke*#, Jingyuan Liu*#, Runze             Li#. Journal of the American Statistical Association. 2020+. In press. DOI: 10.1080/01621459.2020.1783274.

2.         Sequential Text-Term Selection in Vector Space Models.” Feifei Wang, Jingyuan Liu*, Hansheng Wang. Journal of Business & Economic Statistics. 2020+. In press. DOI: 10.1080/07350015.2019.1634079.

3.         “Considerations in testing treatment effects on transient event driven health status changes measured by patient reported outcomes.” Jingyuan Liu*, Jason C. Legg, May Mo and Xuwen Zhang. Statistics in Medicine. 2020+. In press. DOI: 10.1002/sim.8376.

4.         “Feature selection for generalized varying coefficient mixed-effect models with application to obesity GWAS.” Wanghuan Chu#, Runze Li#, Jingyuan Liu*# and Matthew Reimherr#. Annals of Applied Statistics. 14, 1, 276–298, 2020. DOI: 10.1214/19-AOAS1310.

5.         “Test for Conditional Independence with Application to Conditional Screening.” Yeqing Zhou#, Jingyuan Liu# and Liping Zhu. Journal of Multivariate Analysis. 175, 2020. DOI: 10.1016/j.jmva.2019.104557.

6.         “Model-Free Conditional Feature Screening with Exposure Variables.” Yeqing Zhou, Jingyuan Liu*, Zhihui Hao and Liping Zhu. Statistics and Its Interface. 12, 239-251, 2019. DOI: 10.4310/SII.2019.v12.n2.a5.

7.         “Variable Selection for Partially Linear Models via Partial Correlation.” Jingyuan Liu, Lejia Lou and Runze Li. Journal of Multivariate Analysis. 167, 418–434, 2018. DOI: 10.1016/j.jmva.2018.06.005.

8.         “Two-stage Identification of SNP Effects on Dynamic Poplar Growth.” Jingyuan Liu*, Meixia Ye, Sheng Zhu, Libo Jiang, Mengmeng Sang, Jingwen Gan, Qian Wang, Minren Huang and Rongling Wu. The Plant Journal, 93, 286–296, 2018. DOI: 10.1111/tpj.13777.

9.         “Variable Selection via Partial Correlation.” Runze Li#, Jingyuan Liu*#, Lejia Lou#. Statistica Sinica. 27 (3), 983-996, 2017. DOI: 10.5705/ss.202015.0473.

10.     “Model-Free Conditional Independence Feature Screening.” Luheng Wang, Jingyuan Liu*, Yong Li, Runze Li. Science China Mathematics. 60(3), 551-568, 2017. DOI: 10.1007/s11425-016-0186-8.

11.     “Feature Screening and Variable Selection for Partially Linear Models with Ultrahigh- dimensional Longitudinal Data.” Jingyuan Liu*. Neurocomputing. 195, 202-210, 2016. DOI: 10.1016/j.neucom.2015.09.122.

12.     “A Selective Overview of Feature Screening for Ultrahigh-dimensional Data.” Jingyuan Liu, Wei Zhong and Runze Li. Science China Mathematics, 58(10), 1-22, 2015. DOI: 10.1007/s11425-015-5062-9.

13.     “2HiGWAS: A Unifying High-Dimensional Platform to Infer the Global Genetic Architecture of Trait Development.” Libo Jiang#, Jingyuan Liu#, Xuli Zhu, Meixia Ye, Lidan Sun, Xavier Lacaze and Rongling Wu. Briefings in Bioinformatics, 16(6), 905-911, 2015. DOI: 10.1093/bib/bbv002.

14.     “A Modified Region Approach for Multivariate Measurement System Capability Analysis.” Liangxing Shi, Qingmeng He, Jingyuan Liu and Zhen He. Quality and Reliability Engineering International, 2014. DOI: 10.1002/qre.1724.

15.     “Feature Selection for Varying Coefficient Models with Ultrahigh Dimensional Covariates.” Jingyuan Liu*, Runze Li, and Rongling Wu. Journal of the American Statistical Association, 109, 266-274, 2014. DOI: 10.1080/01621459.2013.850086.

16.     “Model and Algorithm for Linkage Disequilibrium Analysis in a Nonequilibrium Population.” Jingyuan Liu, Zhong Wang, Yaqun Wang, Runze Li, Rongling Wu. Frontiers in Statistical Genetics. 3, 78, 2012. DOI: 10.3389/fgene.2012.00078.

17.     “Dynamic Modeling of Genes Controlling Cancer Stem Cell Proliferation.” Zhong Wang, Jingyuan Liu, Jianxin Wang,Yaqun Wang, Ningtao Wang, Yao Li, Runze Li, Rongling Wu. Frontiers in Statistical Genetics. 3, 84, 2012.?DOI: 10.3389/fgene.2012.00084.

18.     “Functional Mapping of Developmental Processes: Theory, Applications, and Prospects.” Kiranmoy Das, Zhongwen Huang, Jingyuan Liu, Guifang Fu, Jiahan Li, Yao Li, Chunfa Tong, Junyi Gai, Rongling Wu. Methods in Molecular Biology. 871, 227-243, 2012. DOI: 10.1007/978-1-61779-785-9 12.

19.     “Statistical Models for Genetic Mapping in Polyploids: Challenges and Opportunities.” Jiahan Li, Kiranmoy Das, Jingyuan Liu, Guifang Fu, Yao Li, Christian Tobias, Rongling Wu. Methods in Molecular Biology. 871, 245-261, 2012. DOI: 10.1007/978- 1-61779-785-9 13.   

20.    “Systems mapping of HIV-1 infection.” Wei Hou, Yihan Sui, Zhong Wang, Yaqun Wang, Ningtao Wang, Jingyuan Liu, Yao Li, Maureen Goodenow, Li Yin, Zuoheng Wang, Rongling Wu. BMC Genetics. 13(1), 91-97, 2012. DOI: 10.1186/1471-2156- 13-91.

 

主持科研项目:

 高维模型误差项分布的研究与应用,国家自然科学基金面上项目,2018-2021

基于偏相关系数截断法的超高维模型的变量选择 国家自然科学基金青年科学基金项目,2015-2017 

超高维变系数模型及拓展的统计分析方法,教育部留学回国人员科研启动基金,2014-2016

部分线性模型的大数据变量选择两步法,福建省教育厅社会科学研究项目,2014-2015

 含有多重因变量的大数据统计分析方法,及此方法在动态生长曲线基因定位研究中的应用,中央高校基本科研业务费,2013-2015