山东大学数学学院导师：林路

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山东大学数学学院导师：林路正文

　　林 路:教授 博士生导师 理学博士
　　地 址:中国济南山大南路
　　山东大学数学学院
　　邮 编:250100
　　办公电话:86-531-88364791
　　电子邮件:linlu@sdu.edu.cn

　　Curriculum Vitae (update time: August, 2011)
　　Dr. Prof. LIN Lu
　　Citizen: P. R. China
　　Affiliation: School of Mathematical Sciences, Shandong University
　　Mail address: School of Mathematical Sciences, Shandong University, Jinan 250100, Shandong Province, P. R. China
　　Tel: 86-531- 88364791(O)
　　Fax: 86-531-88364100
　　E-mail: linlu@sdu.edu.cn

　　EDUCATION
　　September, 1999 – June, 2001: Doctor of Science in Probability and Mathematical Statistics, School of Mathematical Sciences, Nankai University, Tianjin, P.R.C.
　　Ph.D thesis: Some Statistical Models and Analysis for Dependent Data
　　September, 1997 – June, 1999, Department of Mathematics, Huazhong University of Science and Technology, Wuhan, P.R.C.
　　September, 1983 – June, 1984, Department of Mathematics, Hunan University, Changsha, P.R.C.
　　March, 1978 – November, 1980, Department of Mathematics, Shaoyang Teachers College, Shaoyang, P.R.C

　　WORKING AND TEACHING EXPERIENCES
　　September, 2003–: Professor, School of Mathematics and System Sciences, Shandong University, Shandong, P.R.C.
　　December, 2010- April, 2011: Visiting Professor, Department of Mathematics, Hong Kong Papist University, Hong Kong
　　July, 2010- September, 2010: Visiting Professor, Department of Mathematics, Hong Kong Papist University, Hong Kong
　　January, 2008-April, 2009: Visiting Professor, Department of Mathematics, Hong Kong Papist University, Hong Kong
　　March, 2008-April, 2008: Visiting Professor, Department of Mathematics, Lakehead University, Canada
　　January, 2008-March, 2008: Visiting Professor, Department of Mathematics, Hong Kong Papist University, Hong Kong
　　April, 2007-June, 2007: Visiting Professor, Department of Mathematics, Hong Kong Papist University, Hong Kong
　　September, 2006-November, 2006: Visiting Professor, Department of Mathematics, Hong Kong Papist University, Hong Kong.
　　June, 2001–September, 2003: Associate Professor, School of Mathematical Sciences, Nankai University, Tianjin, P.R.C.
　　December, 2001-Febnuary, 2002 & July, 2002-September, 2002: Research Associate, Department of Statistics and Actuarial Sciences, The University of Hong Kong, Hong Kong;
　　November 1980 – September, 1999: Lecture (1988 – 1994), Associate professor (1994 – 1999), Department of Mathematics, Shaoyang Teachers College, Shaoyang, P.R.C.

　　RESEARCH INTERESTS
　　Nonparametric Statistics; Robust Statistics; Statistical Depth; Quasi-Likelihood and Empirical Likelihood; Financial Statistics and Statistics in F-BSDE; High dimensional Models.
　　SELECTED PUBLICATIONS (after 1995)
　　44.Lu Lin, Feng Li, Lixing, Zhu (2011). Simulation-based consistent inference for biased working model of non-sparse high-dimensional linear regression. Journal of Statistical Planningand Inference, 141, 3780–3792.
　　43.Lu Lin, Qi Zhang, Feng Li, Xia Cui. (2011) .Simulation-based two-stage estimation for multiple nonparametric regression. Computational Statistics & Data Analysis, 55(3), 1367-1378.
　　42.Yujie Gaia, Lu Lin, and Xiuli Wang. (2011). Consistent inference for biased sub-model of high-dimensional partially linear model. Journal of Statistical Planning and Inference. 141, 1888-1898.
　　41.Zhu, L. Lin, L. Cui, X., Li, G. R. (2010). Bias-corrected empirical likelihood in a multi-link semiparametric model. J. Multivariate Anal. 101, 850-868.
　　40.Qiang Chen, Lu Lin and Zhu, L. X. (2010). Bias-corrected smoothed score function for single-index models. Metrika, 71, 45-58.
　　39.Chen, X. and Lin, L. (2010). Nonparametric estimation for FBSDEs models with applications in finance. Communications in Statistics: Theory and Methods, 39, 2492 – 251.
　　38.Lu Lin, Xia Cui and Lixing Zhu. (2009). An adaptive two-stage estimation method for additive models. Scand. J. Statist. 36, 248-269.
　　37.Cui，X., Guo, W. S., Lin, L. and Zhu, L. X. (2009). Covariate-adjusted nonlinear regression. Annals of Statistics, 37, 1839-1870.
　　36.Su, X. and Lin, L. (2009). Semi-parametric estimation of F-BSDE. Communications in Statistics: Theory and Methods. 38, 1759-1775.
　　35.Wang, K. P., Lin L. and Qi Ruihua. (2009). Multiplicative adjustment method for semiparametric regression with mixing dependent data. Communications in Statistics: Theory and Methods. 38, 3654-3665.
　　34.Lin, L., and Li Feng. (2008). Stable and bias-corrected estimation for nonparametric regression models. Journal of Nonparametric Statistics, 20, 283-303.
　　33.Lin, L., Tan, L. (2008). Proper Bayesian estimating equation based on Hilbert Space method. Statistics and Probability Letters. 78,1119-1127.
　　32.Lin, L. Fan, Y. Z., Tan, L. (2008) Blockwise bootstrap wavelet estimation for nonparametric regression with weakly dependent processes. Metrika 67, 31-48.
　　31.Wang, K. P. and Lin, L. (2008). Semiparametric Density Estimation for Time Series with Multiplicative Adjustment. Communications in Statistics: Theory and Methods, 37, 1274-1283.
　　30.Cui, X.,Lin, L. and Yamg,G. R.(2008). An extended projection data depth and its applications to discrimination. Communications in Statistics: Theory and Method. 37,(14), 2276–2290
　　29.Yang, G. J., Lin, L. and Zhang, R. C. (2007). Unbiased quasi-regression. China. Ann. Math. 28(B) (2),177-186.
　　28.Lin, L. and Cui, X. (2006). Stahel-Donoho kernel estimation for fixed design nonparametric regression models. Science in China Series A: Mathematics, 49(12), 1879-1896.
　　27.Lin, L. (2006). Quasi Bayesian likelihood, Statistical Methodology. 3, 444-455.
　　26.Lin, L. and Chen, M. H. (2006). Robust Estimating Equation Based on Statistical Depth. Statistical Papers, 47, 263-278.
　　25.Lin, L., Zhu, L. X. and Yuen, K. C. (2005) Profile empirical likelihood for parametric and semi-parametric models. Ann. Inst. Statist. Math. 57(3), 485-505.
　　24.Lin, L. (2005). Robust depth-weighted wavelet for nonparametric regression models. Acta Mathematica Sinica, English Series, 21, 585 – 592.
　　23.Lin, L., Fan, Y. Z., Du, J. and Yuan, Y. (2005). Iterative quasi-likelihood for seemingly unrelated regression systems. Chin. Ann. Math. 26(B) (3),335-346.
　　22.Lin, L.(2004). Generalized Quasi likelihood. Statistical Papers, 45,529-544.
　　21.Lin, L. and Zhang, R. C. (2004). Bootstrap Wavelet for Nonlinear Regresson Models with Weakly Dependent Processes. Acta Mathematica Scientia, 24B, 61-70.
　　20.Lin, L. (2003). Maximum Information and Optimum Estimating Function. Chin. Ann. Math. 24B, 349-358.
　　19.Lin, L. and Zhang, R. C. (2002). Profile Quasi-likelihood. Statistics and Probability Letters. 56, 147-154.
　　18.Lin L. and Zhang, R. C. (2001). Blockwise empirical likelihood for weakly dependent processes. Statistics & Probability Letters. 53: 143-152.
　　17.Lin, L. and Zhang, R.C. (2001). Relative stability of hypothesis (Chinese). Acta Mathematicae Applicatae Sinica.23. 616-622.
　　16.Lin, L. and Zhang, R. C. (2002). Three methods of empirical Euclidean likelihood for two sample and their comparison (Chinese). Applied Probability and Statistics. 2002(4): 393-399
　　15.Lin, L. (2000). Conservative estimating function in the nonlinear regression models with aggregated data. Acta Mathematica Scientia. 20B: 335-340.
　　14.Lin, L. (1999). Some properties for quasi-likelihood estimate in nonlinear regression models (Chinese). Mathematicae Applicatae Sinica.22: 307-310.
　　13.Lin, L. (1998). Approximate confidence regions in terms of curvature for parameters of transformations (Chinese). Applied Mathematics A Journal of China University. 13: 153-158.
　　12.Lin, L. (1998). Approximate score function and quasi approximate score function for seemingly unrelated nonlinear regression equations (Chinese). Mathematics Applicata. 11: 110-113.
　　11.Lin, L. (1998). Quasi-likelihood estimation and constrained quasi-likelihood estimation in nonlinear regression models (Chinese). Acta Mathematica Scientia. 18: 313-138.
　　10.Lin, L. (1997). The influence of adding sample data on mean square error of ridge estimate (Chinese). Mathematics in Practice and Theory. 27: 123-127.
　　9.Lin, L. (1997). Influential point test for some biased estimate (Chinese). Mathematics in Practice and Theory. 27: 239-245.
　　8.Lin, L. (1996). Local influence analysis on some biased estimates (Chinese). Mathematical Statistics and Applied Probability. 11: 23-27.
　　7.Lin, L. (1996). Synthesized ridge estimate of regression coefficients (Chinese). Mathematical Statistics and Applied Probability. 11: 179-185.
　　6.Lin, L. (1996). Influence function of ridge estimate (Chinese). Journal of East China Normal University. No. 2: 34-39.
　　5.Lin, L. and Tan, L. (1996). Birmbaum information and the best combination of some test score. Application of Statistics and Management (Chinese). 15: 35-38.
　　4.Lin, L. (1995). The difference of influence of some disturbance models for some biased estimations. Journal of Basic Science and Engineering (Chinese). 3. 244-250.
　　3.Lin, L. (1995). Birmbaum information and its supper bound. Chinese Journal of Engineering mathematics (Chinese). 12 No. 2: 97-101.
　　2.Lin, L. (1995). Influence analysis on ridge estimate in regression model with covariance matrix disturbance (Chinese). Chinese Journal of Engineering mathematics. 12 No. 3: 83-88.
　　1.Lin, L. and Long, B. (1995). Mixed estimate of predictive validity of the entrance examination to college and university. Application of Statistics and Management (Chinese). 14: 38-40.

　　HONOR / PRIZE /GRANT
　　10.2010-2013. The Nature Science Foundation of China.
　　9.2010-2013. The Nature Science Foundation of Shandong Province of China.
　　8.2008-2010. The Research Fund for the Doctoral Program of Higher Education.
　　7.2008-2010. The Nature Science Foundation of China.
　　6.2007-2011. A main member of NBRP (973 Program) of China.
　　5.2006-2008. The Nature Science Foundation of Shandong Province of China
　　4.2004-2006. The Nature Science Foundation of China.
　　3.2002. The Second Prize of Outstanding PhD Thesis Award. Awarded by National Bureau of Statistics of China.
　　2.2002. The First Prize of Advance of Statistics Science and Technology. Awarded by National Bureau of Statistics of China.
　　1.1996. The Firth Prize of Advance of Statistics Science and Technology. Awarded by Bureau of Statistics of China.

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