簡介

上海對外經貿大學統(tǒng)計與信息學院副院長，教授，碩士生導師。擔任中國現(xiàn)場統(tǒng)計研究會大數(shù)據統(tǒng)計分會常務理事和統(tǒng)計交叉科學研究分會理事。2003-2015年在太原師范學院工作，2016年入職上海對外經貿大學。2019-2020年到新加坡國立大學進行學術訪問。主要從事統(tǒng)計學的理論、方法和應用研究，主持國家社會科學基金一般項目、教育部人文社會科學研究規(guī)劃基金項目、全國統(tǒng)計科學研究重點項目、教育部重點實驗室項目和上海市科學技術委員會項目等，在統(tǒng)計學SCI權威期刊JBES、Statistica Sinica、SJS、JMA、JSPI等發(fā)表學術論文30余篇。

部分發(fā)表論文

1. Liu, J., Li, R., & Lian, H. (2024). Distributed estimation of functional linear regression with functional responses. Metrika, 87(1), 21-30. 

2. 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.

3. 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.

4. Li R., Leng C. L. and You J. H. (2022). Semiparametric tail index regression. Journal of Business & Economic Statistics. 40(1): 82-95. 

5. 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. 

6. 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.

7. 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. 

8. Li, R. and Zhang, Y. (2021). Two-stage estimation and simultaneous confidence band in partially nonlinear additive model. Metrika, 84(8), 1109-1140.

9. 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.

10. Zhu, H., Li, R., Zhang, R. and Lian, H. (2020). Nonlinear functional canonical correlation analysis via distance covariance. Journal of Multivariate Analysis, 180, 104662. 

11. Zhang, F., Wang, X., Li, R. and Lian, H. (2020). Randomized sketches for sparse additive models. Neurocomputing, 385, 80-87.

12. 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.

13. 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. 

14. Xiong, X., Li, R. and Lian, H. (2019). On nonparametric randomized sketches for kernels with further smoothness. Statistics & Probability Letters, 153, 139-142.

15. 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. 

16. 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. 

17. 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.

18. 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.

19. 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.

20. 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. 

21. 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.

22. 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.

科研項目

1. 教育部人文社會科學研究規(guī)劃基金項目《大規(guī)模面板數(shù)據交互效應動態(tài)指標模型的結構識別與穩(wěn)健估計》, 2023/10-2024/09, 主持

2. 統(tǒng)計與數(shù)據科學前沿理論及應用教育部重點實驗室項目《商務大數(shù)據建模分析：理論、算法與應用研究》，2019/01-2020/12，主持

3. 國家社會科學基金一般項目《非線性動態(tài)面板數(shù)據模型的統(tǒng)計推斷與應用研究》，2017/09-2022/08，主持

4. 全國統(tǒng)計科學研究重點項目《基于大數(shù)據背景的半參數(shù)建模方法及其應用研究》，2017/01-2018/12，主持

5. 上海市高校青年教師培養(yǎng)資助計劃《關于幾類復雜數(shù)據的結構化建模與統(tǒng)計推斷》，2017/01至2018/12，主持

6. 上海市科學技術委員會項目《高維復雜數(shù)據的稀疏化建模及應用研究》，2016/09-2018/08，主持

7. 國家自然科學基金面上項目《遷移學習和聯(lián)邦學習研究及在民航大數(shù)據的應用》，2024/01-2027/12，參與

8. 國家自然科學基金天元項目《基于傳染模型的信用衍生品定價研究》，2014/1-2014/12，參與