北京工業(yè)大學(xué)

基本情況

李高榮，理學(xué)博士，博士后，副教授，2013年破格為博士生導(dǎo)師，美國(guó)數(shù)學(xué)評(píng)論(Mathematical Reviews)評(píng)論員。研究領(lǐng)域涉及非參數(shù)統(tǒng)計(jì)、復(fù)雜高維數(shù)據(jù)分析、經(jīng)驗(yàn)似然推斷、模型和變量選擇、以及縱向數(shù)據(jù)和面板數(shù)據(jù)分析等。近年多次訪問香港浸會(huì)大學(xué)和新加坡南洋理工大學(xué)，目前在國(guó)內(nèi)外學(xué)術(shù)刊物 “The Annals of Statistics”、“Statistics and Computing”、“Statistica Sinica”、“Journal of Multivariate Analysis”、“Computational Statistics and Data Analysis”等上發(fā)表學(xué)術(shù)論文50多篇。曾獲得中國(guó)博士后科學(xué)基金和上海市博士后科研資助計(jì)劃項(xiàng)目。參加國(guó)家自然科學(xué)基金、北京市自然科學(xué)基金、高等學(xué)校博士學(xué)科點(diǎn)專項(xiàng)科研基金等多項(xiàng)科研項(xiàng)目。2010年入選北京市屬高等學(xué)校人才強(qiáng)教深化計(jì)劃“中青年骨干人才培養(yǎng)計(jì)劃”和北京市優(yōu)秀人才培養(yǎng)資助計(jì)劃，2012年破格入選北京工業(yè)大學(xué)“京華人才”支持計(jì)劃。目前主持國(guó)家自然科學(xué)基金、北京市自然科學(xué)基金、高等學(xué)校博士學(xué)科點(diǎn)專項(xiàng)科研基金和北京市教委科技計(jì)劃面上項(xiàng)目。2011年指導(dǎo)美國(guó)數(shù)學(xué)建模競(jìng)賽(MCM)獲一等獎(jiǎng)(Meritorious)。

Address and contact
 
College of Applied Sciences

北京市朝陽區(qū)平樂園100號(hào)
 
Beijing University of Technology

北京工業(yè)大學(xué)應(yīng)用數(shù)理學(xué)院
 
No.100 Pingle Yuan, Beijing 100124

郵編：100124
 
Office：

Mathematics and Physics Building 2414 (數(shù)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(xué)情況
 
本科：概率論與數(shù)理統(tǒng)計(jì)、多元統(tǒng)計(jì)分析
 
研究生：數(shù)理統(tǒng)計(jì)與隨機(jī)過程、統(tǒng)計(jì)軟件選講、現(xiàn)代管理統(tǒng)計(jì)
 
招生要求
 
歡迎有較強(qiáng)的數(shù)學(xué)、概率統(tǒng)計(jì)基礎(chǔ)、以及具有一定軟件基礎(chǔ)和英語基礎(chǔ)的學(xué)生報(bào)考統(tǒng)計(jì)學(xué)的博士研究生、學(xué)術(shù)型研究生和應(yīng)用統(tǒng)計(jì)的專業(yè)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 
 
☆A(yù)nnals of Statistics
 
☆Biometrics
 
☆Biometrika
 
☆Statistica Sinica
 
☆Scandinavian Journal of Statistics
 
☆Bernoulli
 
☆arxiv.org
 
☆小木蟲，科學(xué)網(wǎng)，中國(guó)數(shù)學(xué)資源網(wǎng)
 
☆中國(guó)科學(xué)、數(shù)學(xué)學(xué)報(bào)、應(yīng)用數(shù)學(xué)學(xué)報(bào)、系統(tǒng)科學(xué)與數(shù)學(xué)、應(yīng)用概率統(tǒng)計(jì)、工程數(shù)學(xué)學(xué)報(bào)、高校應(yīng)用數(shù)學(xué)學(xué)報(bào)、數(shù)學(xué)進(jìn)展