基本信息姓名姜荣
职称副教授
联系方式见学院黄页
电子邮件jrtrying@dhu.edu.cn
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
2017/12-2018/12 布鲁内尔大学（英国） 访问****
教学成果课程名称
本科生课程：《概率论与数理统计》、《微积分》、《线性代数》、《非参数统计》。
研究生课程：《应用统计》、《工程数学》
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, Hu Xueping, Yu Keming (2020). Single-index expectile models for estimating conditional value at risk and expected shortfall.Journal of Financial Econometrics, https://doi.org/10.1093/jjfinec/nbaa016
2、Jiang Rong, Yu Keming (2020) . Single-index composite quantile regression for massive data. Journal of Multivariate Analysis. https://doi.org/10.1016/j.jmva.2020.104669
3、Jiang Rong, Chen Wei-wei, Liu Xin (2020) . Adaptive quantile regressions for massive datasets. Statistical Papers. https://doi.org/10.1007/s00362-020-01170-8
4、Jiang Rong, Guo Meng-fan, Liu Xin (2020) . Composite quasi-likelihood for single-index models with massive datasets. Communications in Statistics - Simulation and Computation.https://doi.org/10.1080/**.2020.**
5、Jiang Rong, Hu Xueping, Yu Keming and Weimin Qian.(2018). Composite quantile regression for massive datasets, Statistics, 52: 980-1004.
6、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.
7、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.
8、Jiang Rong, Qian Wei-Min, Zhou Zhan-Gong.(2016). Weighted composite quantile regression for single-index models, Journal of Multivariate Analysis, 148: 34-48.
9、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.
10、Jiang Rong, Qian Wei-Min.(2016). Quantile regression for single-index-coefficient, Statistics and Probability Letters, 110: 305-317.
11、Jiang Rong.(2015). Composite quantile regression for linear errors-in-variables models, Hacettepe Journal of Mathematics and Statistics, 44: 707-713.
12、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.
13、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.
14、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.
15、 Jiang Rong, Qian Wei-Min, Li Jing-Ru.(2014). Testing in linear composite quantile regression models, Computational Statistics, 29: 1381-1402.
16、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.
17、Zhou Zhan-Gong, Jiang Rong and Qian Wei-Min.(2013). LAD variable selection for linear models with randomly censored data, Metrika, 76: 287-300.
18、Jiang Rong, Qian Wei-Min, Zhou Zhan-Gong.(2012). Variable selection andcoefficient estimation via composite quantile regression with randomly censored data, Statistics and Probability Letters,82: 308-317.
19、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.
20、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.
21、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.
22、Zhou Zhan-Gong, Jiang Rong and Qian Wei-Min.(2011). Variable selection for additive partially linear models with measurement error, Metrika, 74: 185-202.
23、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.
24、姜荣,钱伟民,周占功，半参数测量误差模型中参数的随机加权估计，同济大学学报(自然科学版), 2011,39(5).
25、姜荣,邵明江,钱伟民，半参数非线性模型中的t-型估计和影响分析，华东师范大学学报(自然科学版), 2011,(3).