北京师范大学统计学院
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李高荣 发布时间:2019-08-28 浏览次数:



一、个人简介

 李高荣,教授,博士生导师。20077月在北京工业大学应用数理学院获得概率论与数理统计专业博士学位。主要研究方向是:高维统计、非参数统计和复杂数据分析、模型和变量选择、统计学习、因果推断、纵向数据分析、测量误差和经验似然等。

 

二、工作经历

  1. 20194月至今,北京师范大学统计学院,教授,博士生导师
  2. 20157月至20193北京工业大学北京科学与工程计算研究院,教授,博士生导师
  3. 20163月至20173美国南加州大学Marshall商学院,Postdoctoral Research Associate
  4. 20147月至20156北京科学与工程计算研究院,副教授,博士生导师
  5. 20097月至20146月,北京工业大学应用数理学院,副教授,博士生导师(20136月破格)
  6. 20078月至20096月,华东师范大学金融与统计学院,博士后

 

专著

  1. 李高荣,杨宜平(2015). 纵向数据半参数模型. 北京:科学出版社.
  2. 李高荣,张君,冯三营(2016). 现代测量误差模型. 北京:科学出版社. (现代数学基础丛书,162)

 

代表性论文

    迄今为止,在《The Annals of Statistics》、《Journal of the American Statistical Association》、《Statistics and Computing》和《Statistica Sinica》等国内外重要学术期刊发表学术论文80多篇,主要代表性论文(*表示通信作者)如下:

  1. Fan Yingying, Demirkaya Emre, Li Gaorong and Lv Jinchi (2019). RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs. Journal of the American Statistical Association, online. arXiv preprint arXiv: 1709.00092.
  2. Yue Lili, Li Gaorong* and Lian Heng (2019). Identification and Estimation in Quantile Varying-Coefficient Models with Unknown Link Function. Test, online. DOI: https://doi.org/10.1007/s11749-019-00638-6
  3. Feng Sanying, Li Gaorong*, Peng Heng and Tong Tiejun (2019). Panel Data Varying Coefficient Models with Interactive Fixed Effects. Statistica Sinica, online, DOI: 10.5705/ss.202018.0248. arXiv preprint arXiv: 1803.02714.
  4. Feng Sanying, Li Gaorong*, Tong Tiejun and Luo Shuanghua (2019). Testing for Heteroskedasticity in Two-Way Fixed Effects Panel Data Models. Journal of Applied Statistics, online. https://doi.org/10.1080/02664763.2019.1634682
  5. Yue Lili, Li Gaorong*, Lian Heng and Wan Xiang (2019). Regression Adjustment for Treatment Effect in High-dimensional Collinearity. Computational Statistics and Data Analysis, 134: 17-35.
  6. Zhang Shen, Zhao Peixin*, Li Gaorong and Xu Wangli (2019). Nonparametric Independence Screening for Ultra-high Dimensional Generalized Varying Coefficient Models with Longitudinal Data. Journal of Multivariate Analysis, 171: 37-52.
  7. Zhang Jun, Niu Cuizhen, Li Gaorong (2019). Exploring the Constant Coefficient of a Single-Index Variation. Brazilian Journal of Probability and Statistics, 33(1): 57-86.
  8. Yang Yiping, Tong Tiejun and Li Gaorong* (2019). SIMEX Estimation for Single-Index Model with Covariate Measurement Error. AStA Advances in Statistical Analysis, 103:137–161.
  9. Zhang Jun, Lin Bingqing* and Li Gaorong (2019). Nonlinear Regression Models with General Distortion Measurement Errors. Journal of Statistical Computation and Simulation, 89(8): 1482–1504.
  10. Wang Zhaoliang, Xue Liugen, Li Gaorong and Lu Fei (2019). Spline Estimator for Ultra-high Dimensional Partially Linear Varying Coefficient Models. Annals of the Institute of Statistical Mathematics, 71: 657-677.
  11. 夏强, 梁茹冰, 李高荣* (2019). 参数单指标分位数自回归模型的诊断检验. 中国科学: 数学, 49: 879-898.
  12. Cheng Ming-Yen*, Feng Sanying, Li Gaorong and Lian Heng (2018). Greedy Forward Regression for Variable Screening. Australian & New Zealand Journal of Statistics, 60(1): 20-42.
  13. Zheng Zemin, Li Yang, Yu Chongxiu and Li Gaorong* (2018). Balanced Estimation for High-dimensional Measurement Error Models. Computational Statistics and Data Analysis, 126: 78–91.
  14. Guo Xu, Li Gaorong, McAleer Michael, Wong Wing-Keung* (2018). Specification Testing of Production in a Stochastic Frontier Model. Sustainability, 10, 3082, pp1-10. DOI: 10.3390/su10093082.
  15. Zhou Yan, Zhang Baoxue, Li Gaorong, Tong Tiejun and Wan Xiang* (2017). GD-RDA: A New Regularized Discriminant Analysis for High Dimensional Data. Journal of Computational Biology, 24: 1099-1111.
  16. Li Yujie, Li Gaorong*, Lian Heng and Tong Tiejun (2017). Profile Forward Regression Screening for Ultra-High Dimensional Semiparametric Varying Coefficient Partially Linear Models. Journal of Multivariate Analysis, 155: 133-150.
  17. 岳莉莉, 史建红*李高荣 (2017). 含有测量误差的 Panel 数据模型的统计推断. 中国科学:数学, 47(9): 1077-1088.
  18. Yang Yiping, Li Gaorong* and Lian Heng (2016). Nonconcave Penalized Estimation in Partially Linear Models with Longitudinal Data. Statistics, 50(1): 43-59.
  19. Li Gaorong, Lai Peng and Lian Heng* (2015). Variable Selection and Estimation for Partially Linear Single-index Models with Longitudinal Data. Statistics and Computing, 25(3): 579-593.
  20. Li Gaorong, Lian Heng, Lai Peng and Peng Heng* (2015). Variable Selection for Fixed Effects Varying Coefficient Models. Acta Mathematica Sinica, English Series, 31(1)91-110.
  21. Zhang Jun*, Li Gaorong and Feng Zhenghui (2015). Checking the Adequacy for A Distortion Errors-In-Variables Parametric Regression Model. Computational Statistics and Data Analysis, 83: 52-64.
  22. Yang Yiping, Li Gaorong* and Tong Tiejun (2015). Corrected Empirical Likelihood for a Class of Generalized Linear Measurement Error Models. SCIENCE CHINA Mathematics, 58(7): 1523–1536.
  23. Li Gaorong, Peng Heng*, Dong Kai and Tong Tiejun (2014). Simultaneous Confidence Bands and Hypothesis Testing in Single-index Models. Statistica Sinica, 24: 937-955.
  24. Yang Yiping, Li Gaorong and Peng Heng* (2014). Empirical Likelihood for Varying Coefficient Errors-in-Variables Models with Longitudinal Data. Journal of Multivariate Analysis, 127: 1-18.
  25. Lian Heng* and Li Gaorong (2014). Series Expansion for Functional Sufficient Dimension Reduction. Journal of Multivariate Analysis, 124: 150-165.
  26. Li Gaorong*, Lian Heng, Feng Sanying and Zhu Lixing (2013). Automatic Variable Selection for Longitudinal Generalized Linear Models. Computational Statistics and Data Analysis, 61: 174-186.
  27. Lai Peng, Li Gaorong and Lian Heng* (2013). Quadratic Inference Functions for Partially Linear Single-Index Models with Longitudinal Data. Journal of Multivariate Analysis, 118: 115-127.
  28. Li Gaorong*, Peng Heng and Tong Tiejun (2013). Simultaneous Confidence Band for Nonparametric Fixed-Effects Panel Data Models. Economics Letters, 119: 229-232.
  29. Li Gaorong*, Peng Heng, Zhang Jun and Zhu Lixing (2012). Robust Rank Correlation Based Screening. Annals of Statistics, 40(3): 1846-1877. (ESI高被引论文)
  30. Li Gaorong, Lin Lu and Zhu Lixing* (2012).  Empirical Likelihood for Varying Coefficient Partially Linear Model with Diverging Number of Parameters. Journal of Multivariate Analysis, 105: 85-111.
  31. Zhang Weiwei, Li Gaorong* and Xue Liugen (2011). Profile Inference on Partially Linear Varying-Coefficient Errors-in-Variables Models under Restricted Condition. Computational Statistics and Data Analysis, 55: 3027-3040.
  32. Li Gaorong, Xue Liugen and Lian Heng* (2011). Semi-varying Coefficient Models with a Diverging Number of Components. Journal of Multivariate Analysis, 102: 1166-1174.
  33. Li Gaorong, Feng Sanying and Peng Heng* (2011). A Profile-type Smoothed Score Function for a Varying Coefficient Partially Linear Model. Journal of Multivariate Analysis,102: 372-385.
  34. Li Gaorong, Peng Heng* and Zhu Lixing (2011). Nonconcave Penalized M-estimation with a Diverging Number of Parameters.  Statistica Sinica, 21: 391-419.
  35. Li Gaorong, Zhu Liping* and Zhu Lixing (2010). Adaptive Confidence Region for the Direction in Semiparametric Regressions.  Journal of Multivariate Analysis, 101: 1364-1377.
  36. Li Gaorong, Zhu Lixing*, Xue Liugen and Feng Sanying (2010). Empirical Likelihood Inference in Partially Linear Single-index Models for Longitudinal Data. Journal of Multivariate Analysis, 101: 718-732.
  37. Zhu Lixing, Lin Lu, Cui Xia and Li Gaorong (2010). Bias-corrected Empirical Likelihood in a Multi-link Semiparametric Model. Journal of Multivariate Analysis, 101: 850-868.
  38. Li Gaorong*, Tian Ping and Xue Liugen (2008). Generalized Empirical Likelihood Inference in Semiparametric Regression Model for Longitudinal Data. Acta Mathematica Sinica, English Series24(12): 2029-2040.

 

、主持和参与的主要科研项目

  1. 国家自然科学基金:高维回归模型的大规模统计学习和推断 (No: 11871001)20191-202212,主持
  2. 国家自然科学基金:不完全数据下半参数混合效应模型的研究 (No: 11971001)20201-202312月,主要参与者
  3. 北京市自然科学基金:大规模因果推断模型的统计学习及其应用(No: 1182003)20181-202012,主持。
  4. 国家自然科学基金:半参数面板数据交互固定效应模型的理论与应用研究 (No11471029)20151-201812,主持。
  5. 北京市自然科学基金:纵向数据变系数混合效应模型的适应性统计研究及其应用(No: 1142002)20141-201612,主持。
  6. 北京市教育委员会科技计划面上项目:函数型数据半参数模型的统计方法、理论及应用(NoKM201410005010)20141-201612,主持。
  7. 北京市自然科学基金委员会与北京市科学技术研究院联合资助项目: 高维数据的低维非线性逼近方法与应用 (No: L140003)20141-20166,主要参与者。
  8. 国家自然科学青年基金:纵向数据单指标混合效应模型的有效统计推断 (No11101014)20121-201412,主持。
  9. 教育部博士点学科专项科研基金:可加模型的统计推断及应用 (No:20121103110004), 20131-201512,主要参与者。
  10. 高等学校博士学科点专项科研基金联合资助课题(新教师类):高维数据半参数模型的变量选择及其应用 (No20101103120016)20111-201312,主持。

 

、奖励及荣誉

  1. 2012年破格入选北京工业大学京华人才支持计划
  2. 2010年入选市属高等学校人才强教深化计划中青年骨干人才培养计划
  3. 2010年入选北京市优秀人才培养资助计划
  4. 2008年入选上海市博士后科研资助计划

 

、学术兼职及服务

  1. 全国工业统计学教学研究会常务理事
  2. 中国概率统计学会第十一届理事
  3. 北京应用统计学会常务理事
  4. 中国现场统计研究会高维数据统计分会常务理事
  5. 中国现场统计研究会生存分析分会理事和副秘书长
  6. 美国数学评论(Mathematical Reviews)评论员
  7. 教育部中国学位与研究生教育发展中心研究生学位论文通讯评议专家

 

联系方式

工作单位:北京师范大学统计学院

通信地址:北京市海淀区新街口外大街19

邮编100875

E-mail:  ligaorong@bnu.edu.cn; ligaorong@gmail.com

 




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