北京工業大學數理學院統計學導師介紹：李高榮

導師信息來源：中國考研網 2015-09-06　相關院校：北京工業大學

基本情況

李高榮，理學博士，博士后，副教授，2013年破格為博士生導師，美國數學評論(Mathematical Reviews)評論員。研究領域涉及非參數統計、復雜高維數據分析、經驗似然推斷、模型和變量選擇、以及縱向數據和面板數據分析等。近年多次訪問香港浸會大學和新加坡南洋理工大學，目前在國內外學術刊物 “The Annals of Statistics”、“Statistics and Computing”、“Statistica Sinica”、“Journal of Multivariate Analysis”、“Computational Statistics and Data Analysis”等上發表學術論文50多篇。曾獲得中國博士后科學基金和上海市博士后科研資助計劃項目。參加國家自然科學基金、北京市自然科學基金、高等學校博士學科點專項科研基金等多項科研項目。2010年入選北京市屬高等學校人才強教深化計劃“中青年骨干人才培養計劃”和北京市優秀人才培養資助計劃，2012年破格入選北京工業大學“京華人才”支持計劃。目前主持國家自然科學基金、北京市自然科學基金、高等學校博士學科點專項科研基金和北京市教委科技計劃面上項目。2011年指導美國數學建模競賽(MCM)獲一等獎(Meritorious)。

Address and contact

College of Applied Sciences

北京市朝陽區平樂園100號

Beijing University of Technology

北京工業大學應用數理學院

No.100 Pingle Yuan, Beijing 100124

郵編：100124

Office：

Mathematics and Physics Building 2414 (數理樓2414)

Email：

ligaorong@bjut.edu.cn; ligaorong@gmail.com

Experience

2009-present

Associate Professor, Beijing University of Technology

2007-2009

Post-doctoral Research Fellow, East China NormalUniversity

Education

Ph.D. in Probability and Mathematical Statistics (2007), Beijing University of Technology

M.S. in Applied Mathematics (2004), Hebei University of Technology, Tianjin

B.S. in Mathematics Education (1999), Shanxi Normal University, Linfen,Shanxi

Research Interests

Nonparametric Regression Methods

Semiparametric/Nonparametric Models

Complex and High Dimensional Data Analysis

Empirical Likelihood

Model/Variable Selection

Longitudinal/Panel Data Analysis

Grants (Principal Investigator)

☆The Beijing Natural Science Foundation (No: 1142002)

☆The National Nature Science Foundation of China (No: 11101014)

☆The Specialized Research Fund for the Doctoral Program of Higher Education of China (No: 20101103120016)

☆The Science and Technology Project of Beijing Municipal Education Commission (No: KM201410005010)

☆Program for JingHua Talents in Beijing University of Technology

☆Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of BeijingMunicipality (No: PHR20110822)

☆Training Programme Foundation for the Beijing Municipal Excellent Talents (No: 2010D005015000002)

☆The Fundamental Research Foundation of Beijing University of Technology (No: X4006013201101)

☆China Postdoctoral Science Foundation Funded Project (No: 20080430633)

☆Shanghai Postdoctoral Scientific Program (No: 08R214121)

Selected Publications

Li G. R., Lai P. and Lian H. (2014). Variable Selection and Estimation for Partially Linear Single-index Models with Longitudinal Data. Statistics and Computing (doi: 10.1007/s11222-013-9447-8, in press).

Li G. R., Peng H., Dong K. and Tong T. J. (2014). Simultaneous Confidence Bands and Hypothesis Testing in Single-index Models. Statistica Sinica, 24: 937-955.

Lian H. and Li G. R. (2014). Series Expansion for Functional Sufficient Dimension Reduction.Journal of Multivariate Analysis, 124: 150-165.

Yang Y. P., Li G. R. and Peng H. (2014). Empirical Likelihood for Varying Coefficient Errors-in-Variables Models with Longitudinal Data. Journal of Multivariate Analysis, 127: 1-18.

Yang Y. P., Li G. R.* and Lian H. (2014). Nonconcave Penalized Estimation in Partially Linear Models with Longitudinal Data. (To appear in Statistics).

Yang S. G., Xue L. G. and Li G. R. (2014). Simultaneous Confidence Bands for Single-index Random Effects Models with Longitudinal Data. Statistics and Probability Letters, 85: 6-14.

Li G. R., Lian H., Lai P. and Peng H. (2014). Variable Selection for Fixed Effects Varying Coefficient Models. (To appear in Acta Mathematica Sinica, English Series).

Yang X. J., Yang S. G. and Li G. R.* (2014). Simultaneous Confidence Band for Partially Linear Panel Data Models with Fixed Effects. (To appear in Acta Mathematicae Applicatae Sinica, English Series).

Feng S. Y., Li G. R.* and Zhang J. (2014). Efficient Statistical Inference for Partially Nonlinear Errors-in-Variables Models. Acta Mathematica Sinica, English Series, in press.

Li G. R., Lian H., Feng S. and Zhu L. X. (2013). Automatic Variable Selection for Longitudinal Generalized Linear Models. Computational Statistics and Data Analysis, 61: 174-186. (SCI: 098ME)

Lai P., Li G. R. and Lian H. (2013). Quadratic Inference Functions for Partially Linear Single-Index Models with Longitudinal Data. Journal of Multivariate Analysis, 118: 115-127. (SCI: 154ZD)

Li G. R., Peng H. and Tong T. J. (2013). Simultaneous Confidence Band for Nonparametric Fixed-Effects Panel Data Models. Economics Letters, 119: 229-232. (SSCI: 148IS)

Lai P., Li G. R. and Lian H. (2013). Semiparametric Estimation of Fixed Effects Panel Data Single-index Model. Statistics and Probability Letters, 83: 1595-1602. (SCI: 136TW)

Zhao P. X. and Li G. R. (2013). Modified SEE Variable Selection for Varying Coefficient Instrumental Variable Models. Statistical Methodology, 12: 60-70. (SCI: 115XD)

Li G. R., Peng H., Zhang J. and Zhu L. X. (2012). Robust Rank Correlation Based Screening.Annals of Statistics, 40(3): 1846-1877. (SCI: 031OG)

Li G. R., Xue L. G. and Lian H. (2012). SCAD-penalized Generalized Additive Models with NP-dimensionality. Journal of Nonparametric Statistics, 24(3): 681-697. (SCI: 994NB)

Li G. R., Lin L. and Zhu L. X. (2012). Empirical Likelihood for Varying Coefficient Partially Linear Model with Diverging Number of Parameters. Journal of Multivariate Analysis, 105: 85-111. (SCI: 887ED)

Zhang J., Feng S. Y., Li G. R.* and Lian H. (2011). Empirical Likelihood Inference for Partially Linear Panel Data Models with Fixed Effects. Economics Letters, 113: 165-167. (SSCI: 852ZS).

Li G. R., Xue L. G. and Lian H. (2011). Semi-varying Coefficient Models with a Diverging Number of Components. Journal of Multivariate Analysis, 102: 1166-1174. (SCI: 776FQ)

Zhang W., Li G. R.* and Xue L. G. (2011). Profile Inference on Partially Linear Varying-Coefficient EV Models under Restricted Condition. Computational Statistics and Data Analysis, 55: 3027-3040. (SCI: 799WS)

Li G. R., Peng H. and Zhu L. X. (2011). Nonconcave Penalized M-estimation with Diverging Number of Parameters. Statistica Sinica， 21: 391-419. (SCI：722LX).

Li G. R., Feng S. Y. and Peng H. (2011). Profile-type Smoothed Score Function for a Varying Coefficient Partially Linear Model. Journal of Multivariate Analysis, 102: 372-385. (SCI：690DV).

Li G. R., Zhu L. P. and Zhu L. X. (2010). Adaptive Confidence Region for the Direction in Semiparametric Regressions. Journal of Multivariate Analysis, 101: 1364-1377. (SCI: 578HP).

Li G. R., Zhu L. X., Xue L. G. and Feng S. Y. (2010). Empirical Likelihood Inference in Partially Linear Single-index Models for Longitudinal Data. Journal of Multivariate Analysis, 101: 718-732. (SCI: 546TM).

Zhu L. X., Lin L., Cui X. and Li G. R. (2010). Bias-corrected Empirical Likelihood in a Multi-link Semiparametric Model. Journal of Multivariate Analysis, 101: 850-868. (SCI: 551NU).

Wang X. L., Li G. R. and Lin L. (2011). Empirical Likelihood Inference for Semi-parametric Varying-coefficient Partially Linear Errors-in-variables Models. Metrika, 73(2): 171-185. (SCI: 709UN).

Li G. R., Chen S. and Zhang J. (2009). A class of Random Deviation Theorems and the Approach of Laplace Transform. Statistics & Probability Letters，79: 202-210. (SCI: 395VP).

Li G. R., Tian P. and Xue L. G. (2008). Generalized Empirical Likelihood Inference in Semiparametric Regression Model for Longitudinal Data. Acta Mathematica Sinica, English Series，24(12): 2029-2040. (SCI: 367JX).

Li G. R. and Xue L. G. (2008). Empirical Likelihood Confidence Region of the Parameter in the Partially Linear Errors-in-variables Model. Communications in Statistics -- Theory and Methods，37(10): 1552-1564. (SCI：278PG，EI: 20081411183009).

Li G. R., Chen S. and Feng S. Y. (2008). A Strong Limit Theorem for Functions of Continuous Random Variables and an Extension of the Shannon-McMillan Theorem. Journal of Applied Mathematics, 1-10. (SCI: V16EB, EI: 11405962)

Referee Service

Referee for more than 20 Journals: such as Journal of the American Statistical Association、Scandinavian Journal of Statistics、Statistica Sinica、Journal of Multivariate Analysis、Computational Statistics and Data Analysis、Journal of Statistical Planning and Inference、Australian & New Zealand Journal of Statistics、etc.

教學情況

本科：概率論與數理統計、多元統計分析

研究生：數理統計與隨機過程、統計軟件選講、現代管理統計

招生要求

歡迎有較強的數學、概率統計基礎、以及具有一定軟件基礎和英語基礎的學生報考統計學的博士研究生、學術型研究生和應用統計的專業碩士研究生！！！！

Useful Link

☆Journal of the Royal Statistical Society: Series B (Statistical Methodology)

☆Journal of the American Statistical Association Homepage of JASA

☆Bioinformatics

☆Annals of Statistics

☆Biometrics

☆Biometrika

☆Statistica Sinica

☆Scandinavian Journal of Statistics

☆Bernoulli

☆arxiv.org

☆小木蟲，科學網，中國數學資源網

☆中國科學、數學學報、應用數學學報、系統科學與數學、應用概率統計、工程數學學報、高校應用數學學報、數學進展