夏强

夏强


教授,博士生导师。2015年获中国人民大学统计学院博士学位,2006年至今在华南农业大学工作,现为数学与信息学院、软件学院副院长。近年来主持国家自然科学基金重大研究计划培育项目,教育部人文社科基金规划项目,广东省自然科学基金面上项目,全国统计科学研究重点项目各1项。在国内外学术期刊和国际学术会议上发表论文20余篇,发表专著2部。担任美国数学评论评论员;担任中国现场统计研究会资源与环境,生存分析,大数据分析分会理事。电子邮箱:xiaqiang@scau.edu.cn


教育经历
2012/9–2015/6 中国人民大学统计学院, 统计学, 博士
2003/9–2006/6 华东师范大学统计系, 概率统计, 硕士
1993/9–1997/6 徐州师范大学数学系, 数学教育, 学士

工作背景
2018/12-至今  华南农业大学,数学与信息(软件)学院,教授
2015/1-2018/11  华南农业大学,数学与信息(软件)学院,副教授
2011/12-2014/12 华南农业大学,理学院,副教授
2006/7-2011/11 华南农业大学,理学院,讲师
1997/8-2003/8  江苏省徐州第七高级中学,中学教师

访问背景
2018/9-2019/6  东北师范大学,统计与数学学院,访问学者
2018/7-2018/8  香港大学,统计与精算系,Research Associate
2016/12-2017/12 美国德州农工大学,统计系,国家公派访问学者

2015/7-2015/8  香港理工大学,应用数学系,Research Associate
2013/11-2014/2  香港浸会大学,数学系,访问学人(王宽诚教育基金会和香港浸会大学合办的中国内地访问学人计划)
2013/7-2013/8  香港理工大学,应用数学系,Research Associate


授课课程
高等数理统计;时间序列分析;回归分析;多元统计分析;非参数统计;数理统计;统计计算


已发表科研论文
[1]  Dabing Zhang, Shanying Chen, Liwen Ling, Qiang Xia. Forecasting agricultural commodity prices using model selection framework with time series features and forecast horizons, IEEE Access, 2020, 8:28197-28209.
[2] 
Qiang Xia, Zhiqiang Zhang, Wai Keung Li. A Portmanteau Test for Smooth Transition Autoregressive Models,  Journal of Time Series Analysis, 2019 , doi:10.1111/jtsa.12512.  (SCI)
[3] Liwen Ling, Dabin Zhang, Amin W. Mugera, Shanying Chen,
Qiang Xia. A forecast combination framework with multi-time scale for livestock products price forecasting, Mathematical Problems in Engineering, 2019, 10:1-11.
[4] Jianhong Wu, Guodong Li,
Qiang Xia. Moment-based tests for random effects in the two-way error component model with unbalanced panels, Economic Modelling, 2018, 74: 61-76. (SSCI)
[5] 
Qiang Xia, Rubing Liang, Jianhong Wu, Heung Wong.  Determining the number of factors for high-dimensional time series,  Statistics and Its Interface, 2018, 11: 307-316. (SCI)
[6] Shuxia Ni,
Qiang Xia, Jinshan Liu. Bayesian Subset Selection for Two-Threshold Variable Autoregressive Models, Studies in Nonlinear Dynamics & Econometrics,2018, 22, 4:1-16. (SSCI, 通讯作者)
[7] 
Qiang Xia, Kejun He, Cunzhen Niu. A Model adaptive test for parametric single index time series model, Journal of Time Series Analysis, 2017, 38(6):981-999. (SCI)
[8] 
Qiang Xia, Rubing Liang, Jianhong Wu, Transformed Contribution Ratio Test for the Number of Factors in Static Approximate Factor Models, Computational Statistics and Data Analysis, 2017,
112:235-241. (SCI)
[9] Jiazhu Pan,
Qiang Xia, Jinshan Liu, Bayesian analysis of multiple thresholds autoregressive
model, Computational Statistics, 2017, 32: 219-237. (SCI)
[10] Rubing Liang,
Qiang Xia, Jiazhu Pan, Jinshan Liu, Testing a Linear ARMA Model against
Threshold-ARMA Models: a Bayesian Approach, Communications in Statistics - Simulation and
Computation, 2017, 46: 1302-1317. (SCI, 通讯作者)
[11] 
Qiang Xia, Heung Wong, Jinshan Liu,Rubing Liang, Bayesian Analysis of Power-Transformed
and Threshold GARCH Models: A Griddy-Gibbs Sampler Approach, Computational Economics,
2017, 50(3): 353–372. (SSCI&SCI)
[12] 
Qiang Xia, Wangli Xu, Lixing Zhu, Consistently determining the number of factors in multivariate volatility modelling, Statistica Sinica, 2015, 25: 1025-1044. (SCI)
[13]  Rubing Liang, Cuizhen Niu,
Qiang Xia, Zhiqiang Zhang, Nonlinearity Testing and Modeling for
Threshold Moving Average Models, Journal of Applied Statistics, 2015, 42: 2614-2630. (SCI, 通讯作者)
[14] 
Qiang Xia, Rubing Liang, Jinshan Liu, A Bayesian Analysis of Autoregressive Models with Exogenous Variables and Power-Transformed and Threshold GARCH Errors, Communications in Statistics - Theory and Methods, 2015, 44: 1967-1980. (SCI)
[15] Cuizhen Niu,
Qiang Xia, Testing the rate ratio under inverse sampling based on gradient statistic, Journal of Applied Statistics, 2015, 42:1402-1420. (SCI)
[16] 
Qiang Xia, Jinshan Liu, Jiazhu Pan, Rubing Liang, Bayesian Analysis of Two-Regime Threshold Autoregressive Moving Average Model with Exogenous Inputs, Communications in Statistics - Theory and Methods, 2012, 41: 1089-1104. (SCI)
[17] 
Qiang Xia, Jiazhu Pan, Zhiqiang Zhang, Jinshan Liu, A Bayesian Nonlinearity Test for Threshold Moving Average Models, Journal of Time Series Analysis, 2010, 31: 329-336. (SCI)
[18] 
夏强,梁茹冰,李高荣,参数单指标分位数自回归模型的诊断检验,中国科学--数学,2019 , 49 (6): 879 -898.

专著
[1]  刘金山,夏强,基于MCMC算法的贝叶斯统计方法,科学出版社,420000,2016.
[2]  Qiang Xia, Heung Wong, Identification of Threshold Autoregressive Moving Average Models, Springer-Verlag New York, 8500, 2016.

教材
[1] 夏强,刘金山,概率论与数理统计,人民邮电出版社,380000,2018.


主持课题
1. 国家自然科学基金重大研究计划培育项目,高维时间序列因子自回归模型的统计推断及应用研究(91746102),2018.1-2020.12,在研;
 2. 教育部人文社科基金规划项目,高维时间序列静态的近似因子模型的因子个数估计理论及 应用研究(17YJA910002),2017.7-2020.7,在研;
3. 广东省自然科学基金面上项目,高维数据中因子模型的统计推断及应用 (2016A030313414),2016/6-2019/6,已结题;
4. 全国统计科学研究重点项目,高维时间序列因子模型的统计推断方法的改进及应用研究(2015LZ48),2015/12-2017/11,已结题;
5. 国家社会科学基金青年项目,两类门限型计量经济学模型的贝叶斯检验及应用研究(2CTJ0191),2012/09-2015/08,已结题;
6. 教育部人文社科基金青年项目,PTGARCH模型的贝叶斯检验及其在经济金融波动问题中的应用(11YJCZH195),2011.8-2014.8,已结题;


获奖情况
1. 指导2013级本科生徐禹洪、唐雪梅、吴钰冰参加2016 The Mathematical Contest in Modeling(美国数学建模比赛)荣获 Meritorious Winner(一等奖)
2. 指导2014级研究生谢胜蓝、乔杉、李珍珠参加2016 The Mathematical Contest in Modeling(美国数学建模比赛)荣获  Honorable Mention (二等奖)