| 教授 | 电话：67703808 |
| 电子邮件：lirui@suibe.edu.cn |
教育背景
博士（统计学）,2015,上海财经大学;
硕士（应用数学）,2008,江苏大学;
学士（数学与应用数学）,2003,太原师范学院
研究兴趣
非/半参数建模，纵向(面板)数据，测量误差，分位数回归
主讲课程
《统计学》《数据科学导论》《应用多元统计分析》《应用时间序列分析》《商务大数据案例分析》《（研）多元统计分析》
简介
上海对外经贸大学统计与信息学院副院长，教授，硕士生导师。担任中国现场统计研究会大数据统计分会常务理事和统计交叉科学研究分会理事。2003-2015年在太原师范学院工作，2016年入职上海对外经贸大学。2019-2020年到新加坡国立大学进行学术访问。主要从事统计学的理论、方法和应用研究，主持国家社会科学基金一般项目、教育部人文社会科学研究规划基金项目、全国统计科学研究重点项目、教育部重点实验室项目和上海市科学技术委员会项目等，在统计学SCI权威期刊JBES、Statistica Sinica、SJS、JMA、JSPI等发表学术论文30余篇。
部分发表论文
Liu, J., Li, R., & Lian, H. (2024). Distributed estimation of functional linear regression with functional responses. Metrika, 87(1), 21-30.
Yang, Y., Wang, L., Liu, J., Li, R., & Lian, H. (2023). Communication-efficient estimation of quantile matrix regression for massive datasets. Computational Statistics & Data Analysis, 187, 107812.
Zhao, W., Zhang, X., Yuen, K. C., Li, R., & Lian, H. (2023). Estimation in quantile regression models for correlated data with diverging number of covariates and large cluster sizes. Communications in Statistics-Theory and Methods, 52(4), 1012-1038.
Li R., Leng C. L. and You J. H. (2022). Semiparametric tail index regression. Journal of Business & Economic Statistics. 40(1): 82-95.
Wang, Y., Zhou, Y., Li, R., and Lian, H. (2022). Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space. Computational Statistics & Data Analysis, 168, 107388.
Li, R., Lu, W., Zhu, Z. and Lian, H. (2021). Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces. Journal of Statistical Planning and Inference, 211, 162-170.
Zhang F., Li R. and Lian H. (2021). Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection. Information Sciences. 547(8): 244-254.
Li, R. and Zhang, Y. (2021). Two-stage estimation and simultaneous confidence band in partially nonlinear additive model. Metrika, 84(8), 1109-1140.
Li, R., Mu, S., & Hao, R. (2021). Estimation and variable selection for partially linear additive models with measurement errors. Communications in Statistics-Theory and Methods, 50(6), 1416-1445.
Zhu, H., Li, R., Zhang, R. and Lian, H. (2020). Nonlinear functional canonical correlation analysis via distance covariance. Journal of Multivariate Analysis, 180, 104662.
Zhang, F., Wang, X., Li, R. and Lian, H. (2020). Randomized sketches for sparse additive models. Neurocomputing, 385, 80-87.
Zhao, W., Zhang, F., Li, R. and Lian, H. (2020). Principal single-index varying-coefficient models for dimension reduction in quantile regression. Journal of Statistical Computation and Simulation, 90(5), 800-818.
Xu, Q. F. and Li, R. (2019). A double varying-coefficient modeling approach for analyzing longitudinal observations. Acta Mathematicae Applicatae Sinica, English Series, 35(3), 671-688.
Xiong, X., Li, R. and Lian, H. (2019). On nonparametric randomized sketches for kernels with further smoothness. Statistics & Probability Letters, 153, 139-142.
Li R. and Zhao H. B. (2018). Sparsity identification for high-dimensional partially linear model with measurement error, Communications in Statistics-Simulation and Computation, 47(8), 2378-2392.
Li R., Leng C. L. and You J. H., (2017). A semiparametric regression model for longitudinal data with non-stationary errors, Scandinavian Journal of Statistics, 44(4), 932-950.
Li R. and Hao R. L. (2017). Effective identification and estimation for the semiparametric measurement error model, Journal of the Korean Statistical Society, 46(1), 1-14.
Li R., Alan T.K. Wan and You J.H. (2016). Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects，Computational Statistics and Data Analysis, 100, 401-423.
Li R., Li X. and Zhou X. (2016). Efficient inference for longitudinal data varying-coefficient regression models，Australian & New Zealand Journal of Statistics, 57(4) , 545-570.
Zhao H.B. and Li R. (2016). Difference based estimation and model identification for panel data semiparametric models with cross-section dependence, Communications in Statistics-Theory and Methods, 45(4), 1099-1117.
Bai Y., Huang J., Li R. and You J. H. (2015). Semiparametric longitudinal model with irregular time autoregressive error process, Statistica Sinica, 25(2), 507-528.
Li R. and Zhou X. (2015). Efficient estimation and variable selection in dynamic panel data partially linear varying coefficient models with incidental parameter, Acta Mathematicae Alicatae Sinica, English Series, 31(3), 643-664.
科研项目
教育部人文社会科学研究规划基金项目《大规模面板数据交互效应动态指标模型的结构识别与稳健估计》, 2023/10-2024/09, 主持
统计与数据科学前沿理论及应用教育部重点实验室项目《商务大数据建模分析：理论、算法与应用研究》，2019/01-2020/12，主持
国家社会科学基金一般项目《非线性动态面板数据模型的统计推断与应用研究》，2017/09-2022/08，主持
全国统计科学研究重点项目《基于大数据背景的半参数建模方法及其应用研究》，2017/01-2018/12，主持
上海市高校青年教师培养资助计划《关于几类复杂数据的结构化建模与统计推断》，2017/01至2018/12，主持
上海市科学技术委员会项目《高维复杂数据的稀疏化建模及应用研究》，2016/09-2018/08，主持
国家自然科学基金面上项目《迁移学习和联邦学习研究及在民航大数据的应用》，2024/01-2027/12，参与
国家自然科学基金天元项目《基于传染模型的信用衍生品定价研究》，2014/1-2014/12，参与