李高荣  

基本情况

李高荣,理学博士,博士后,教授,博士生导师。目前是全国工业统计学教学研究会常务理事、中国现场统计研究会高维数据统计分会理事、生存分析分会理事和副秘书长、北京应用统计学会常务理事和美国数学评论(MathematicalReviews)评论员。研究领域涉及统计学习、深度学习、因果推断、非参数统计、复杂高维数据分析、模型和变量选择、测量误差模型、纵向数据和面板数据分析、以及经验似然推断等。近年多次访问香港浸会大学、新加坡南洋理工大学和香港城市大学,目前在国内外学术刊物“The Annals of Statistics”“Statistics and Computing”“StatisticaSinica”“Journalof Multivariate Analysis”“Computational Statistics and Data Analysis”“Journalof Computational Biology”、“Sustainability”、中国科学:数学数学学报等上发表学术论文80多篇,在科学出版社出版专著《纵向数据半参数模型》和《现代测量误差模型》。主持和参加国家自然科学基金、北京市自然科学基金、高等学校博士学科点专项科研基金等多项国家和省部级科研项目。2010年入选北京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和北京市优秀人才培养资助计划,2012年破格入选北京工业大学京华人才支持计划。目前主持国家自然科学基金和北京市自然科学基金等科研项目。

联系地址

北京市朝阳区平乐园100号,北京工业大学北京科学与工程计算研究院

BeijingInstitute for Scientific and Engineering Computing (BISEC), Beijing University ofTechnology (BJUT), Beijing 100124

办公室:新学科楼M-8M823

E-mailligaorong@bjut.edu.cn; ligaorong@gmail.com

专著和代表性论文(*表示通信作者)


  1. 李高荣,张君,冯三营 (2016). 现代测量误差模型(入选《现代数学基础丛书》,162),科学出版社.

  2. 李高荣,杨宜平 (2015). 纵向数据半参数模型,北京: 科学出版社.

  3. Cheng Ming-Yen*, Feng Sanying, LiGaorong and Lian Heng (2018). Greedy Forward Regression for VariableScreening. Australian & New ZealandJournal of Statistics, 60(1):20-42.

  4. Zheng Zemin, Li Yang, Yu Chongxiu and Li Gaorong* (2018). Balanced Estimationfor High-dimensional Measurement Error Models. Computational Statistics and Data Analysis, 126: 78–91.

  5. Guo Xu, Li Gaorong, McAleer Michael, Wong Wing-Keung* (2018). SpecificationTesting of Production in a Stochastic Frontier Model. Sustainability, 10, 3082, pp1-10.

  6. YangYiping, Tong Tiejun and Li Gaorong*(2018). SIMEX Estimation for Single-Index Model with Covariate MeasurementError. AStA Advances in StatisticalAnalysis, DOI :10.1007/s10182-018-0327-6.

  7. Wang Zhaoliang, Xue Liugen, Li Gaorong and Lu Fei (2018). Splineestimator for ultra-high dimensional partially linear varying coefficientmodels. Annals of the Institute ofStatistical Mathematics, DOI: 10.1007/s10463-018-0654-0.

  8. Feng Sanying, Li Gaorong*, Peng Heng and Tong Tiejun(2018). Panel Data Varying Coefficient Models with InteractiveFixed Effects. arXiv preprint arXiv: 1803.02714.

  9. Yue Lili, Li Gaorong*, Lian Heng and Wan Xiang (2018). Regression Adjustmentfor Treatment Effect in High-dimensional Collinearity. Computational Statistics and Data Analysis, minor revision.

  10. Xia Qiang, Liang Rubingand Li Gaorong* (2018). Model Checking for Parametric Single-Index TimeSeries Quantile Regression. SCIENCE CHINAMathematics, in press.

  11. Zhang Jun, Niu Cuizhen, Li Gaorong (2018). Exploring theConstant Coefficient of a Single-Index Variation. Brazilian Journal of Probability and Statistics, in press.

  12. Fan Yingying, Demirkaya Emre, Li Gaorong and Lv Jinchi (2017). RANK:Large-Scale Inference with Graphical Nonlinear Knockoffs. arXiv preprintarXiv:1709.00092.

  13. Li Yujie, Li Gaorong*, Tong Tiejun(2017).Sequential Profile Lasso for Ultra-High Dimensional Partially Linear Models. Statistical Theory and Related Fields,1(2): 234-245.

  14. Zhou Yan, Zhang Baoxue, Li Gaorong, Tong Tiejun and Wan Xiang*(2017). GD-RDA: A New Regularized Discriminant Analysis for High DimensionalData. Journal of Computational Biology,24: 1099-1111.

  15. Li Yujie, Li Gaorong*, Lian Heng and Tong Tiejun (2017). Profile ForwardRegression Screening for Ultra-High Dimensional Semiparametric VaryingCoefficient Partially Linear Models. Journal of Multivariate Analysis, 155: 133-150.

  16. 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. DOI:10.1360/SCM-2016-0620

  17. 陈冉冉,李高荣*(2017). 面板数据交互固定效应模型的方差分量检验.数学学报60(5):763-778.

  18. YangYiping, Li Gaorong* and Lian Heng(2016). Nonconcave Penalized Estimation in Partially Linear Models withLongitudinal Data. Statistics, 50(1): 43-59.

  19. Li Gaorong,Lai Peng and Lian Heng* (2015). Variable Selection and Estimation forPartially Linear Single-index Models with Longitudinal Data. Statistics and Computing, 25(3): 579-593.

  20. Li Gaorong, LianHeng, Lai Peng and Peng Heng* (2015). Variable Selection for FixedEffects Varying Coefficient Models. Acta Mathematica Sinica, English Series,31(1)91-110.

  21. ZhangJun*, Li Gaorong and Feng Zhenghui (2015). Checking the Adequacy for ADistortion Errors-In-Variables ParametricRegression Model. ComputationalStatistics and Data Analysis, 83:52-64.

  22. YangYiping, Li Gaorong* and Tong Tiejun(2015). Corrected Empirical Likelihood for a Class of Generalized LinearMeasurement Error Models. SCIENCE CHINAMathematics, 58(7): 1523–1536.

  23. LiGaorong, Peng Heng*, Dong Kai and Tong Tiejun(2014). Simultaneous Confidence Bands and Hypothesis Testing in Single-indexModels. Statistica Sinica,24:937-955.

  24. YangYiping, Li Gaorong and Peng Heng*(2014). Empirical Likelihood for Varying CoefficientErrors-in-Variables Models with Longitudinal Data. Journal of Multivariate Analysis, 127: 1-18.

  25. LianHeng* and Li Gaorong (2014).Series Expansion for Functional Sufficient Dimension Reduction. Journal of Multivariate Analysis, 124: 150-165.

  26. Yang Suigen*, Xue Liugen and Li Gaorong (2014). SimultaneousConfidence Bands for Single-index Random Effects Models with Longitudinal Data.Statistics and Probability Letters, 85: 6-14.

  27. FengSanying, Li Gaorong* andZhang Junhua(2014). Efficient Statistical Inference for Partially Nonlinear Errors-in-VariablesModels. Acta Mathematica Sinica, English Series,30(9):1606-1620.

  28. LiGaorong*,LianHeng, Feng Sanying and Zhu Lixing (2013). Automatic Variable Selection forLongitudinal Generalized Linear Models. ComputationalStatistics and Data Analysis, 61: 174-186.

  29. Lai Peng, Li Gaorong and Lian Heng* (2013). Quadratic InferenceFunctions for Partially Linear Single-Index Models with Longitudinal Data. Journal of Multivariate Analysis, 118: 115-127.

  30. Lai Peng, Li Gaorong and Lian Heng* (2013). Semiparametric Estimationof Fixed Effects Panel Data Single-index Model. Statistics and Probability Letters, 83: 1595-1602.

  31. Li Gaorong*, Peng Heng and Tong Tiejun (2013).Simultaneous Confidence Band forNonparametric Fixed-Effects Panel Data Models. Economics Letters, 119:229-232.

  32. ZhaoPeixin* and Li Gaorong(2013). Modified SEE Variable Selection for Varying Coefficient InstrumentalVariable Models. Statistical Methodology,12: 60-70.

  33. LiGaorong*, Peng Heng, Zhang Jun and Zhu Lixing (2012). RobustRank Correlation Based Screening. Annalsof Statistics, 40(3): 1846-1877.

  34. LiGaorong, Lin Lu and Zhu Lixing* (2012).Empirical Likelihood forVarying Coefficient Partially Linear Model with Diverging Number of Parameters.Journalof Multivariate Analysis, 105: 85-111.

  35. LiGaorong, Xue Liugen and Lian Heng* (2012).SCAD-penalized Generalized Additive Models with NP-dimensionality. Journal of Nonparametric Statistics, 24(3): 681-697.

  36. Zhang Junhua, Feng Sanying,Li Gaorong*andLian Heng (2011). Empirical Likelihood Inference for Partially Linear PanelData Models with Fixed Effects. EconomicsLetters, 113: 165-167.

  37. Zhang Weiwei, Li Gaorong*and Xue Liugen (2011). Profile Inference on Partially LinearVarying-Coefficient Errors-in-Variables Models under Restricted Condition. Computational Statistics and Data Analysis,55: 3027-3040.

  38. LiGaorong, Xue Liugen and Lian Heng* (2011).Semi-varying Coefficient Models with a Diverging Number of Components. Journal of Multivariate Analysis, 102: 1166-1174.

  39. LiGaorong, Feng Sanyingand Peng Heng* (2011). AProfile-type Smoothed Score Function for a Varying Coefficient Partially LinearModel. Journal of Multivariate Analysis,102: 372-385.

  40. LiGaorong, PengHeng* and Zhu Lixing (2011). Nonconcave PenalizedM-estimation with a Diverging Number of Parameters. Statistica Sinica, 21:391-419.

  41. Wang Xiuli*,Li Gaorong and Lin Lu (2011). Empirical LikelihoodInference for Semi-parametric Varying-coefficient Partially LinearErrors-in-variables Models. Metrika, 73(2): 171-185.

  42. Li Gaorong,ZhuLiping* and Zhu Lixing (2010). Adaptive ConfidenceRegion for the Direction in Semiparametric Regressions.Journal of Multivariate Analysis, 101: 1364-1377.

  43. Li Gaorong, Zhu Lixing*, XueLiugen and Feng Sanying (2010). Empirical Likelihood Inference in PartiallyLinear Single-index Models for Longitudinal Data. Journalof Multivariate Analysis, 101: 718-732.

  44. Zhu Lixing, Lin Lu, Cui Xia and Li Gaorong (2010). Bias-corrected EmpiricalLikelihood in a Multi-link Semiparametric Model. Journal of MultivariateAnalysis, 101: 850-868.

  45. LiGaorong*, ChenShuang and Zhang Junhua (2009).A class of Random Deviation Theorems and theApproach of Laplace Transform.Statistics & ProbabilityLetters, 79: 202-210.

  46. Li Gaorong*, TianPing and Xue Liugen (2008). Generalized Empirical Likelihood Inference in SemiparametricRegression Model for Longitudinal Data.Acta Mathematica Sinica, English Series, 24(12): 2029-2040. (IDS: 367JX, WOS: 000260549400010)

  47. LiGaorong* andXueLiugen (2008). Empirical Likelihood Confidence Region of the Parameter in thePartially Linear Errors-in-variables Model.Communications in Statistics — Theory and Methods37(10):1552-1564.

  48. LiGaorong*, Chen Shuang and Feng Sanying (2008). A Strong LimitTheorem for Functions of Continuous Random Variables and an Extension of theShannon-McMillan Theorem. Journal ofApplied Mathematics, 1-10.

招生要求

欢迎有较强的数学、概率统计和计算机基础、以及具有一定软件基础和英语基础的学生报考统计学的博士研究生、学术型研究生和应用统计的专业硕士研究生!!!!

北京工业大学研究生招生办公室 地址:北京市朝阳区平乐园100号 邮政编码:100124 联系电话:010-67392533