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夏強(qiáng)，教授，博士生導(dǎo)師，現(xiàn)為華南農(nóng)業(yè)大學(xué)數(shù)學(xué)與信息學(xué)院、軟件學(xué)院副院長(zhǎng)。主要從事時(shí)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(guó)科學(xué)《數(shù)學(xué)》等國(guó)內(nèi)外學(xué)術(shù)期刊上發(fā)表40余篇，科學(xué)出版社出版專著1部斯普林格出版社出版專著的一個(gè)章節(jié)。近年來主持國(guó)家自然科學(xué)基金重大研究計(jì)劃培育項(xiàng)目，國(guó)家自然科學(xué)基金面上項(xiàng)目，國(guó)家社科基金青年項(xiàng)目各1項(xiàng)。目前擔(dān)任美國(guó)數(shù)學(xué)評(píng)論評(píng)論員；廣東省統(tǒng)計(jì)學(xué)會(huì)常務(wù)理事；廣東省現(xiàn)場(chǎng)統(tǒng)計(jì)學(xué)會(huì)副理事長(zhǎng)。電子郵箱:xiaqiang@scau.edu.cn

2012/9–2015/6 中國(guó)人民大學(xué)統(tǒng)計(jì)學(xué)院， 統(tǒng)計(jì)學(xué)， 博士

2003/9–2006/6 華東師范大學(xué)統(tǒng)計(jì)系， 概率統(tǒng)計(jì)， 碩士

1993/9–1997/6 江蘇師范大學(xué)（原徐州師范大學(xué)）數(shù)學(xué)系， 數(shù)學(xué)教育， 學(xué)士

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

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

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

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

1997/8-2003/8  江蘇省徐州第七高級(jí)中學(xué)，中學(xué)教師

2018/9-2019/6  東北師范大學(xué)，統(tǒng)計(jì)與數(shù)學(xué)學(xué)院，訪問學(xué)者

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

2016/12-2017/12 美國(guó)德州農(nóng)工大學(xué)，統(tǒng)計(jì)系，國(guó)家公派訪問學(xué)者

2015/7-2015/8  香港理工大學(xué)，應(yīng)用數(shù)學(xué)系，Research Associate

2013/11-2014/2  香港浸會(huì)大學(xué)，數(shù)學(xué)系，訪問學(xué)人（王寬誠(chéng)教育基金會(huì)和香港浸會(huì)大學(xué)合辦的中國(guó)內(nèi)地訪問學(xué)人計(jì)劃）

2013/7-2013/8  香港理工大學(xué)，應(yīng)用數(shù)學(xué)系，Research Associate

高等數(shù)理統(tǒng)計(jì)；時(shí)間序列分析；回歸分析；多元統(tǒng)計(jì)分析；非參數(shù)統(tǒng)計(jì)；數(shù)理統(tǒng)計(jì)；統(tǒng)計(jì)計(jì)算

#學(xué)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(qiáng)，梁茹冰，李高榮*，參數(shù)單指標(biāo)分位數(shù)自回歸模型的診斷檢驗(yàn)，中國(guó)科學(xué)--數(shù)學(xué)，2019 ， 49 (6): 879 -898.

[2]  劉金山，夏強(qiáng)，基于MCMC算法的貝葉斯統(tǒng)計(jì)方法，科學(xué)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(qiáng)，劉金山，概率論與數(shù)理統(tǒng)計(jì)，人民郵電出版社，380000，2018.

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

6. 國(guó)家自然科學(xué)基金重大研究計(jì)劃培育項(xiàng)目，高維時(shí)間序列因子自回歸模型的統(tǒng)計(jì)推斷及應(yīng)用研究（91746102），2018.1-2020.12，已結(jié)題；

5. 教育部人文社科基金規(guī)劃項(xiàng)目，高維時(shí)間序列靜態(tài)的近似因子模型的因子個(gè)數(shù)估計(jì)理論及 應(yīng)用研究（17YJA910002），2017.7-2020.7，已結(jié)題；

4. 廣東省自然科學(xué)基金面上項(xiàng)目，高維數(shù)據(jù)中因子模型的統(tǒng)計(jì)推斷及應(yīng)用 （2016A030313414），2016/6-2019/6，已結(jié)題；

3. 全國(guó)統(tǒng)計(jì)科學(xué)研究重點(diǎn)項(xiàng)目，高維時(shí)間序列因子模型的統(tǒng)計(jì)推斷方法的改進(jìn)及應(yīng)用研究（2015LZ48），2015/12-2017/11，已結(jié)題；

2. 國(guó)家社會(huì)科學(xué)基金青年項(xiàng)目，兩類門限型計(jì)量經(jīng)濟(jì)學(xué)模型的貝葉斯檢驗(yàn)及應(yīng)用研究（2CTJ0191），2012/09-2015/08，已結(jié)題；

1. 教育部人文社科基金青年項(xiàng)目，PTGARCH模型的貝葉斯檢驗(yàn)及其在經(jīng)濟(jì)金融波動(dòng)問題中的應(yīng)用（11YJCZH195），2011.8-2014.8，已結(jié)題；