| 基本信息 | 姓名 | 姜荣 | ||
|---|---|---|---|---|
| 系室 | 统计系 | |||
| 职称 | 副教授 | |||
| 联系方式 | 见学院黄页 | |||
| 电子邮件 | jrtrying@dhu.edu.cn | |||
| 研究方向 | 海量数据分析、分位数回归、单指标模型等统计问题 | |||
| 个人简介 | 姜荣，副教授，硕士生导师，1986年11月生，上海人。2005-2009年毕业于同济大学数学系。2009-2014年于同济大学攻读博士学位，师从钱伟民教授。2017/12-2018/12年作为访问学者，访问 Brunel University London 的虞克明教授。 | |||
| 学习经历 | 起止年月 | 学校 | 专业 | 学位/学历 |
| 2009/09-2014/04 | 同济大学 | 应用数学专业 | 博士 | |
| 2005/09-2009/07 | 同济大学 | 统计学专业 | 本科 | |
| 工作经历 | 起止年月 | 单位 | 职称/职务 | |
| 2014/04-2018/08 | 东华大学 | 讲师 | ||
| 2018/09-现在 | 东华大学 | 副教授 | ||
| 教学成果 | 课程名称 | |||
| 本科生课程：《概率论与数理统计》、《非参数统计》。 研究生课程：《应用统计》、《属性数据分析》 | ||||
| 科研成果 | 研究名称 | |||
| 【1】2019-01-01—2021-12-31：大数据下单指标模型的统计推断研究。国家自然科学基金青年基金。20万。 【2】2017-01-01—2017-12-31：单指标模型估计方法的研究。国家自然科学基金天元基金。3万。 【3】2017-05-01—2020-04-30：超高维数据单指标模型的变量选择问题研究。上海市扬帆计划。20万。 | ||||
| 代表性论文&科研 |
|---|
| 1、Jiang Rong, Yu Keming (2021). Smoothing quantile regression for a distributed system. Neurocomputing. https://doi.org/10.1016/j.neucom.2021.08.101. |
| 2、Jiang Rong, Sun Mengxian (2021). Single-index composite quantile regression for ultra-high-dimensional data. Test. https://doi.org/10.1007/s11749-021-00785-9. |
| 3、Jiang Rong, Hu Xueping, Yu Keming (2021). Single-index expectile models for estimating conditional value at risk and expected shortfall. Journal of Financial Econometrics, https://doi.org/10.1093/jjfinec/nbaa016 |
| 4、Jiang Rong, Guo Meng-fan, Liu Xin (2021) . Composite quasi-likelihood for single-index models with massive datasets. Communications in Statistics - Simulation and Computation. https://doi.org/10.1080/03610918.2020.1753074 |
| 5、Jiang Rong, Chen Wei-wei, Liu Xin (2021) . Adaptive quantile regressions for massive datasets. Statistical Papers, 62:1981-1995. |
| 6、Jiang Rong, Yu Keming (2020). Single-index composite quantile regression for massive data. Journal of Multivariate Analysis, 180: 104669. |
| 7、Jiang Rong, Hu Xueping, Yu Keming and Weimin Qian. (2018). Composite quantile regression for massive datasets, Statistics, 52: 980-1004. |
| 8、Jiang Rong, Qian Wei-Min, Zhou Zhan-Gong.(2018). Weighted composite quantile regression for partially linear varying coefficient models. Communications in Statistics—Theory and Methods, 47: 3987-4005. |
| 9、Hu Xueping, Rong Jiang, Keming Yu and Tong Zhang. (2018). Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples, Journal of Inequalities and Applications, 196. |
| 10、Jiang Rong, Qian Wei-Min, Zhou Zhan-Gong.(2016). Weighted composite quantile regression for single-index models, Journal of Multivariate Analysis, 148: 34-48. |
| 11、Jiang Rong, Qian Wei-Min, Zhou Zhan-Gong.(2016). Single-index composite quantile regression with heteroscedasticity and general error distributions, Statistical Papers, 57: 185-203. |
| 12、Jiang Rong, Qian Wei-Min.(2016). Quantile regression for single-index-coefficient, Statistics and Probability Letters, 110: 305-317. |
| 13、Jiang Rong.(2015). Composite quantile regression for linear errors-in-variables models, Hacettepe Journal of Mathematics and Statistics, 44: 707-713. |
| 14、Jiang Rong, Zhou Zhan-Gong, Qian Wei-Min.(2015). Generalized Analysis-of-variance-type Test for the Single-index Quantile Model, Communications in Statistics—Theory and Methods, 44: 2842-2861. |
| 15、Yang Xiao-Han, Jiang Rong and Qian Wei-Min.(2015). Randomly Weighted LAD-Estimation for Partially Linear Errors-in-Variables Models, Chinese Annals of Mathematics(Series B), 36：561-578. |
| 16、Jiang Rong, Qian Wei-Min, Zhou Zhan-Gong.(2014). Test for single-index composite quantile regression，Hacettepe Journal of Mathematics and Statistics, 43: 861-871. |
| 17、Jiang Rong, Qian Wei-Min, Li Jing-Ru.(2014). Testing in linear composite quantile regression models, Computational Statistics, 29: 1381-1402. |
| 18、Jiang Rong, Zhou Zhan-Gong, Qian Wei-Min. and Chen Yong.(2013). Two step composite quantile regression for single-index models. Computational Statistics and Data Analysis, 64, 180-191. |
| 19、Zhou Zhan-Gong, Jiang Rong and Qian Wei-Min.(2013). LAD variable selection for linear models with randomly censored data, Metrika, 76: 287-300. |
| 20、Jiang Rong, Qian Wei-Min, Zhou Zhan-Gong.(2012). Variable selection and coefficient estimation via composite quantile regression with randomly censored data, Statistics and Probability Letters,82: 308-317. |
| 21、Jiang Rong, Zhou Zhan-Gong, Qian Wei-Min, Shao Wen-Qiong.(2012). Single-index composite quantile regression, Journal of the Korean Statistical Society, 41: 323-332. |
| 22、Jiang Rong, Yang Xiao-Han, Qian Wei-Min.(2012). Random weighting M-estimation for linear errors-in-variables models, Journal of the Korean Statistical Society, 41: 505-514. |
| 23、Zhou Zhan-Gong, Jiang Rong and Qian Wei-Min.(2011). Efficient quantile estimation for functional-coefficient partially linear regression models, Chinese Annals of Mathematics(Series B), 12: 729-740. |
| 24、Zhou Zhan-Gong, Jiang Rong and Qian Wei-Min.(2011). Variable selection for additive partially linear models with measurement error, Metrika, 74: 185-202. |
| 25、Huang Zheng-Sheng,Zhou Zhan-Gong, Jiang Rong and Qian Wei-Min.(2010). Empirical likelihood for semiparametric varying-coefficient partially linear models with error-prone linear covariates, Statistics and Probability Letters, 80: 497-504. |