个人简历

一、个人简介：
杜江，副教授，博导。2013年博士毕业于北京工业大学，统计学专业。2016年入选北京工业大学日新人才计划；2019年入选北京市教委青年拔尖人才计划。
二、研究方向：
函数型数据分析、空间数据分析、模型检验。
三、近三年主持或参与的科研项目：
1. 国家自然科学面上基金：复杂数据下空间自回归模型的统计推断(主持)
2. 国家自然科学青年基金：函数型数据的稳健统计推断理论及其应用(主持)
3. 北京市教委科技计划项目：不完全数据下函数型数据的统计推断(主持)
4. 中国博士后科学基金面上项目：函数型数据的模型检验(主持)
5. 国家自然科学基金：复杂相关数据半参数混合效应模型基于全局似然的统计推断(参与)
6. 国家自然科学基金：马氏跳变双曲系统的边界反馈控制与ARZ交通流模型应用(参与)

研究领域

函数型数据分析、空间数据分析、模型检验

近期论文

1. Ping Yu, Jiang Du, Zhongzhan Zhang*. Varying-coefficient partially functional linear quantile regression models. Journal of the Korean Statistical Society, 2017, 46: 462-475. (SCI).
2. Jiang Du*, Zhongzhan Zhang, Tianfa Xie. Focused information criterion and model averaging in censored quantile regression. Metrika, 2017, 80: 547-570. (SCI).
3. Jiang Du*,Xiaoqian Sun, Ruiyuan Cao, Zhongzhan Zhang. Statistical inference for partially linear additive spatial autoregressive models. Spatial Statistics, 2018, 25: 52-67. (SCI).
4. Jiang Du*, Zhongzhan Zhang, Tianfa Xie. A weighted M-estimator for linear regression models with randomly truncated data. Statistics and Probability Letters, 2018, 138：90-94. (SCI).
5. Jiang Du*, Xiuping Chen, Eddy Kwessi, Zhimeng Sun. Model averaging based on rank. Journal of Applied Statistics, 2018, 45: 1900-1919. (SCI).
6. Jiang Du*, Zhongzhan Zhang, Dengke Xu. Estimation for the censored partially linear quantile regression models. Communications in Statistics-Simulation and Computation, 2018, 8: 2393-2408. (SCI).
7. Jiang Du, Dengke Xu, Ruiyuan Cao*. Estimation and variable selection for partially functional linear models. Journal of the Korean Statistical Society, 2018,47：436-449. (SCI).
8. Jiang Du*, Zhongzhan Zhang, Tianfa Xie. Model averaging for M-estimation. Statistics, 2018, 52(6): 1417-1432. (SCI).
9. Jiang Du,Ruiyuan Cao*, Eddy Kwessi and Zhongzhan Zhang. Estimation for generalized partially functional linear additive regression model. Journal of Applied Statistics, 2019, 46(5): 914-925. (SCI).
10. Ping Yu,Jiang Du,Zhongzhan Zhang*. Single index partially functional linear regression model. Statistical Papers, 2018, in press. (SCI刊源).
11.Tianfa Xie, Ruiyuan Cao*,Jiang Du. Variable selection for spatial autoregressive models with a diverging number of parameters. Statistical Papers, 2018, in press. (SCI刊源).
12.Ruiyuan Cao,Jiang Du*, Jianjun Zhou and Tianfa Xie. FPCA-based Estimation for generalized functional partially linear models. Statistical Papers, 2018, in press. (SCI刊源).
13.Jiang Du*, Hui Zhao, Zhongzhan Zhang. Dynamic partially functional linear regression model. Statistical Methods & Applications, 2019, 28: 679-693. (SCI).
14.Longbing Wang, Ruiyuan Cao, Jiang Du, Zhongzhan Zhang. A nonparametric inverse probability weighted estimation for functional data with missing response data at random. Journal of the Korean Statistical Society, 2019, 48: 537-546. (SCI).
15.Dengke Xu,Jiang Du*. Nonparametric quantile regression estimation for functional data with responses missing at random. Metrika, 2020, in press. (SCI刊源).