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夏強，教授，博士生導師，現(xiàn)為華南農(nóng)業(yè)大學數(shù)學與信息學院、軟件學院副院長。主要從事時間序列分析和高維數(shù)據(jù)分析的研究，已經(jīng)在JBES、mBio、Statistica Sinica、JTSA、CSDA、中國科學《數(shù)學》等國內(nèi)外學術期刊上發(fā)表40余篇，科學出版社出版專著1部斯普林格出版社出版專著的一個章節(jié)。近年來主持國家自然科學基金重大研究計劃培育項目，國家自然科學基金面上項目，國家社科基金青年項目各1項。目前擔任美國數(shù)學評論評論員；廣東省統(tǒng)計學會常務理事；廣東省現(xiàn)場統(tǒng)計學會副理事長。電子郵箱:xiaqiang@scau.edu.cn

2012/9–2015/6 中國人民大學統(tǒng)計學院， 統(tǒng)計學， 博士

2003/9–2006/6 華東師范大學統(tǒng)計系， 概率統(tǒng)計， 碩士

1993/9–1997/6 江蘇師范大學（原徐州師范大學）數(shù)學系， 數(shù)學教育， 學士

2018/12-至今  華南農(nóng)業(yè)大學，數(shù)學與信息(軟件)學院，教授

2015/1-2018/11  華南農(nóng)業(yè)大學，數(shù)學與信息(軟件)學院，副教授

2011/12-2014/12 華南農(nóng)業(yè)大學，理學院，副教授

2006/7-2011/11 華南農(nóng)業(yè)大學，理學院，講師

1997/8-2003/8  江蘇省徐州第七高級中學，中學教師

2018/9-2019/6  東北師范大學，統(tǒng)計與數(shù)學學院，訪問學者

2018/7-2018/8  香港大學，統(tǒng)計與精算系，Research Associate

2016/12-2017/12 美國德州農(nóng)工大學，統(tǒng)計系，國家公派訪問學者

2015/7-2015/8  香港理工大學，應用數(shù)學系，Research Associate

2013/11-2014/2  香港浸會大學，數(shù)學系，訪問學人（王寬誠教育基金會和香港浸會大學合辦的中國內(nèi)地訪問學人計劃）

2013/7-2013/8  香港理工大學，應用數(shù)學系，Research Associate

高等數(shù)理統(tǒng)計；時間序列分析；回歸分析；多元統(tǒng)計分析；非參數(shù)統(tǒng)計；數(shù)理統(tǒng)計；統(tǒng)計計算

#學生，* 通訊作者

[22] Qiang Xia, Xianyang Zhang*, Adaptive testing for alphas in high dimensional factor pricing models, Journal of Business & Economic Statistics Statistics. 2023 （SSCI&SCI, 已接收）

[21] Jun Yang#, Renjie Wu#, Qiang Xia, Jingjing Yu, Lingxian Yi, Ying Huang, Meixin Deng, Wanyun He, Yuman Bai, luchao Lv, Vincent Burrus, Chengzhen Wang, and Jian-Hua Liu*,  The evolution of infectious transmission promotes the persistence of mcr-1 plasmids,  mBio. 2023 （SCI, 已接收, 共同一作）

[20]  Rubing Liang, Binbin Qin, Qiang Xia*, Bayesian Inference for Mixed Gaussian GARCH-type Model by Hamiltonian Monte Carlo Algorithm, Computational Economics. 2022 （SSCI&SCI, 已接收, 通訊作者）

[19]  Xiaobing Zheng#, Qiang Xia*, Rubing Liang, Bayesian Inference for Order Determination of Double Threshold Variables Autoregressive Models, Studies in Nonlinear Dynamics & Econometrics. 2022 （SSCI, 已接收, 通訊作者）

[18] Jinshan Liu, Jiazhu Pan, Qiang Xia*, Li Xiao, On determination of the number of factors in an approximate factor model,  Studies in Nonlinear Dynamics & Econometrics. 2022 (SSCI, 已接收,通訊作者)

[17] Qiang Xia, Heung Wong,  Shirun Shen, Kejun He*, Factor analysis for high dimensional time series: consistent estimation and efficient computation, Statistics Analysis and Data Mining. 2022, 15(2): 247 -263  (SCI)

[16] Xiaobing Zheng#, Kun Liang, Qiang Xia*, Dabing Zhang, Best Subset Selection for Double-Threshold-Variable Autoregressive Moving-Average Models: The Bayesian Approach.  Computational  Economics, 2022, 59:1175-1201 (SSCI&SCI，通訊作者)

[15] Jinshan Liu, Jiazhu Pan, Qiang Xia*, Ying Xiao, Subset Selection of Double-Threshold Moving Average Models Through the Application of the Bayesian Method, Statistics and Its Interface. 2022, 15: 51-61（SCI，通訊作者）

[14] Jinshan Liu, Qiang Xia*. Some finite sample results for a system of seemingly unrelated regression equations, Communications in Statistics - Theory and Methods, 2022, 11(51):3629-3644 (SCI，通訊作者)

[13] Qiang Xia*, Zhiqiang Zhang, Wai Keung Li. A Portmanteau Test for Smooth Transition Autoregressive Models,  Journal of Time Series Analysis, 2020, 41: 722–730 .  (SCI)

[12] 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)

[11]  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，通訊作者)

[10] 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)

[9] 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)

[8] 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，通訊作者) 

[7]  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)

[6] Qiang Xia, Wangli Xu, Lixing Zhu*, Consistently determining the number of factors in multivariate volatility modelling, Statistica Sinica, 2015, 25: 1025-1044. (SCI)

[5]  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，通訊作者)

[4] 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)

[3] 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)

[2] 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)

[1]  夏強，梁茹冰，李高榮*，參數(shù)單指標分位數(shù)自回歸模型的診斷檢驗，中國科學--數(shù)學，2019 ， 49 (6): 879 -898.

[2]  劉金山，夏強，基于MCMC算法的貝葉斯統(tǒng)計方法，科學出版社，420000，2016.

[1]  Qiang Xia, Heung Wong, Identification of Threshold Autoregressive Moving Average Models, Springer-Verlag New York, 8500, 2016.

[1] 夏強，劉金山，概率論與數(shù)理統(tǒng)計，人民郵電出版社，380000，2018.

7. 國家自然科學基金面上項目，近似因子模型的高維稀疏截距向量檢驗問題的若干研究（12171161），2022.1-2025.12，在研；

6. 國家自然科學基金重大研究計劃培育項目，高維時間序列因子自回歸模型的統(tǒng)計推斷及應用研究（91746102），2018.1-2020.12，已結題；

5. 教育部人文社科基金規(guī)劃項目，高維時間序列靜態(tài)的近似因子模型的因子個數(shù)估計理論及 應用研究（17YJA910002），2017.7-2020.7，已結題；

4. 廣東省自然科學基金面上項目，高維數(shù)據(jù)中因子模型的統(tǒng)計推斷及應用 （2016A030313414），2016/6-2019/6，已結題；

3. 全國統(tǒng)計科學研究重點項目，高維時間序列因子模型的統(tǒng)計推斷方法的改進及應用研究（2015LZ48），2015/12-2017/11，已結題；

2. 國家社會科學基金青年項目，兩類門限型計量經(jīng)濟學模型的貝葉斯檢驗及應用研究（2CTJ0191），2012/09-2015/08，已結題；

1. 教育部人文社科基金青年項目，PTGARCH模型的貝葉斯檢驗及其在經(jīng)濟金融波動問題中的應用（11YJCZH195），2011.8-2014.8，已結題；