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”和“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-8层M823
E-mail：ligaorong@bjut.edu.cn; ligaorong@gmail.com
专著和代表性论文(*表示通信作者)


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.
李高荣，杨宜平 (2015). 纵向数据半参数模型，北京: 科学出版社.
Cheng Ming-Yen*, Feng Sanying, LiGaorong and Lian Heng (2018). Greedy Forward Regression for VariableScreening. Australian & New ZealandJournal of Statistics, 60(1):20-42.
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.
Guo Xu, Li Gaorong, McAleer Michael, Wong Wing-Keung* (2018). SpecificationTesting of Production in a Stochastic Frontier Model. Sustainability, 10, 3082, pp1-10.
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.
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.
Feng Sanying, Li Gaorong*, Peng Heng and Tong Tiejun(2018). Panel Data Varying Coefficient Models with InteractiveFixed Effects. arXiv preprint arXiv: 1803.02714.
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.
Xia Qiang, Liang Rubingand Li Gaorong* (2018). Model Checking for Parametric Single-Index TimeSeries Quantile Regression. SCIENCE CHINAMathematics, in press.
Zhang Jun, Niu Cuizhen, Li Gaorong (2018). Exploring theConstant Coefficient of a Single-Index Variation. Brazilian Journal of Probability and Statistics, in press.
Fan Yingying, Demirkaya Emre, Li Gaorong and Lv Jinchi (2017). RANK:Large-Scale Inference with Graphical Nonlinear Knockoffs. arXiv preprintarXiv:1709.00092.
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.
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.
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.
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
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.
YangYiping, Li Gaorong* and Lian Heng(2016). Nonconcave Penalized Estimation in Partially Linear Models withLongitudinal Data. Statistics, 50(1): 43-59.
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.
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.
ZhangJun*, Li Gaorong and Feng Zhenghui (2015). Checking the Adequacy for ADistortion Errors-In-Variables ParametricRegression Model. ComputationalStatistics and Data Analysis, 83:52-64.
YangYiping, Li Gaorong* and Tong Tiejun(2015). Corrected Empirical Likelihood for a Class of Generalized LinearMeasurement Error Models. SCIENCE CHINAMathematics, 58(7): 1523–1536.
LiGaorong, Peng Heng*, Dong Kai and Tong Tiejun(2014). Simultaneous Confidence Bands and Hypothesis Testing in Single-indexModels. Statistica Sinica,24:937-955.
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.
LianHeng* and Li Gaorong (2014).Series Expansion for Functional Sufficient Dimension Reduction. Journal of Multivariate Analysis, 124: 150-165.
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.
FengSanying, Li Gaorong* andZhang Junhua(2014). Efficient Statistical Inference for Partially Nonlinear Errors-in-VariablesModels. Acta Mathematica Sinica, English Series,30(9):1606-1620.
LiGaorong*,LianHeng, Feng Sanying and Zhu Lixing (2013). Automatic Variable Selection forLongitudinal Generalized Linear Models. ComputationalStatistics and Data Analysis, 61: 174-186.
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.
Lai Peng, Li Gaorong and Lian Heng* (2013). Semiparametric Estimationof Fixed Effects Panel Data Single-index Model. Statistics and Probability Letters, 83: 1595-1602.
Li Gaorong*, Peng Heng and Tong Tiejun (2013).Simultaneous Confidence Band forNonparametric Fixed-Effects Panel Data Models. Economics Letters, 119:229-232.
ZhaoPeixin* and Li Gaorong(2013). Modified SEE Variable Selection for Varying Coefficient InstrumentalVariable Models. Statistical Methodology,12: 60-70.
LiGaorong*, Peng Heng, Zhang Jun and Zhu Lixing (2012). RobustRank Correlation Based Screening. Annalsof Statistics, 40(3): 1846-1877.
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.
LiGaorong, Xue Liugen and Lian Heng* (2012).SCAD-penalized Generalized Additive Models with NP-dimensionality. Journal of Nonparametric Statistics, 24(3): 681-697.
Zhang Junhua, Feng Sanying,Li Gaorong*andLian Heng (2011). Empirical Likelihood Inference for Partially Linear PanelData Models with Fixed Effects. EconomicsLetters, 113: 165-167.
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.
LiGaorong, Xue Liugen and Lian Heng* (2011).Semi-varying Coefficient Models with a Diverging Number of Components. Journal of Multivariate Analysis, 102: 1166-1174.
LiGaorong, Feng Sanyingand Peng Heng* (2011). AProfile-type Smoothed Score Function for a Varying Coefficient Partially LinearModel. Journal of Multivariate Analysis,102: 372-385.
LiGaorong, PengHeng* and Zhu Lixing (2011). Nonconcave PenalizedM-estimation with a Diverging Number of Parameters. Statistica Sinica, 21:391-419.
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.
Li Gaorong,ZhuLiping* and Zhu Lixing (2010). Adaptive ConfidenceRegion for the Direction in Semiparametric Regressions.Journal of Multivariate Analysis, 101: 1364-1377.
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.
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.
LiGaorong*, ChenShuang and Zhang Junhua (2009).A class of Random Deviation Theorems and theApproach of Laplace Transform.Statistics & ProbabilityLetters, 79: 202-210.
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号: 367JX, WOS: 010)
LiGaorong* andXueLiugen (2008). Empirical Likelihood Confidence Region of the Parameter in thePartially Linear Errors-in-variables Model.Communications in Statistics — Theory and Methods，37(10):1552-1564.
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！！！！