汪红霞
发布时间:2017-03-08 浏览次数:

 

南京审计大学理学院
汪红霞
最后学位
:南京大学理学博士
岗位职称:讲师
研究领域:时空数据分析、非参数/半参数模型
教学课程:概率论与数理统计、线性代数

办公室:位育楼210
电话:(025)58318699
Email: 270250@nau.edu.cn
通讯地址:南京市浦口区雨山西路86号
邮  编:211815

学习简历                                                                                 
2004.09-2009.06 南京大学数学系(硕博连读) 博士
2000.09-2004.06 安徽大学数学系             本科
工作简历                                                                                 
2016.07-至今    南京审计大学                讲师
2011.10-2015.09 东南大学数学系               博士后
2010.07-2010.09 香港中文大学地理与资源管理系 访问学者
2009.12-2010.02 香港中文大学地理与资源管理系 访问学者
2009.09-2016.06 东南大学       讲师

主持参与项目
1. 国家自然科学基金(青年基金):“具有复杂相关结构时空模型的非参数估计与预测”, 2014.01.1-2016.12。 (主持,结题);
2. 江苏省第三次全国经济普查项目:“江苏房地产发展情况空间统计分析”,2014.12-2015.05。(主持,结题);
3.南京市统计局项目:“南京市人口中长期预测分析”,2016.10-2017.01。(主持,结题);

发表论文(*表示通讯作者)
[1] Xue-Ping Chen, Jin-Guan Lin∗, Hong-Xia Wang, Xing-Fang Huang, Designs containing partially clear main effects. Statistics and Probability Letters, 121,12-17, 2017. (SCI)
[2] Zhong-Cheng Han, Jin-Guan Lin*, Hong-Xia Wang, Xing-Fang Huang, A Robust And Efficient Estimation Method  For Nonparametric Models with Jump Points, Communications in Statistics - Simulation and Computation, 2016,      http://dx.doi.org/10.1080/03610918.2016.1202272. (SCI)
[3] Xuejun Wang*, Mengmei Xi, Hongxia Wang, Shuhe Hu, On Consistency of LS Estimators  in the Errors-in-Variable Regression Model, Probability in the Engineering and Informational Sciences, 2016, doi:10.1017/S0269964816000462. (SCI)
[4] Hong-Xia Hao, Jin-Guan Lin∗, Hong-Xia Wang, Xing-Fang Huang, Bayesian case influence analysis for GARCH models based on Kullback–Leibler divergence, Journal of the Korean Statistical Society, 45(2016), 595-609. (SCI)
[5] Yan-Yong Zhao, Jin-Guan Lin*, Hong-Xia Wang, Xing-Fang Huang, Jump-detection-based estimation in time-varying coefficient models and empirical applications, Test, 2017, DOI:10.1007/s11749-017-0525-7. (SCI)
[6] Zhao, Y.Y., Lin, J.G. and Wang, H.X., Robust Bootstrap Estimates in Heteroscedastic Semi- varying Coefficient Models and Applications in Analyzing Australia CPI Data, Communications in Statistics - Simulation and Computation, 2017, http://dx.doi.org/10.1080/03610918.2015.1054940. (SCI)
[7] Wang, H.*, Lin, J. and Wang J., Nonparametric Spatial Regression with Spatial Autoregressive Error Structure, Statistics, 1, 60-75, 2016. (SCI)
[8] Zhao, Y., Lin, J.*, Huang, X. and Wang, H., Adaptive jump-preserving estimates in varying-coefficient models, Journal of Multivariate Analysis, 149, 65-80, 2016. (SCI)
[9] Wang, H.*, Wu, Y and Elton, Chan. Efficient Estimation of Nonparametric Spatial Models with General Correlation Structures, Australian and New Zealand Journal of Statistics, 2015, 接收. (SCI)
[10] Wang, H.*, Lin, J. and Wang J., Local Linear Estimation for Spatiotemporal Models Based on Least Absolute Deviation. Communications in Statistics –Theory and Methods, 44:7, 1508-1522, 2015. (SCI)
[11] Lin, J.*, Zhao, Y. and Wang, H., Heteroscedasticity diagnostics in varying-coefficient partially linear regression models and applications in analyzing Boston housing data. Journal of Applied Statistics, 42, 2432-2448,2015. (SCI)
[12] Chen, X., Lin, J.*, Yang, J. and Wang, H., Construction of main-effect plans orthogonal through the block factor. Statistics and Probability Letters, 106, 58-64, 2015. (SCI)
[13] Long, Y. and Wang, H.*, The Optimal Chosen of Bandwidth of Local Linear Fitting Method. Proceedings of the 7th High-Level Forum on Applied statistics and Management Engineering , August 17-21, Rizhao, 2015, 755-767. (EI)
[14] Wang, H.* and Wang J., Local Linear Regression for Non-grid Spatiotemporal Models with Autoregressive Errors. Communications in Statistics – Theory and Methods, 42:23, 4259-4275, 2013. (SCI)
[15] Renrong Jiang, Hongxia Wang, Bo Huang and Gao Guo, An Improved Geographically and Temporally Weighted Regression Model with a Novel Weight Matrix, Proceedings of the 12th International Conference on GeoComputation, Wuhan University, Wuhan, China. 23 to 25 May 2013 . http://www.geocomputation.org/2013/
[16] Wang, H.*, Wang, J. and Huang, B., Prediction for Spatiotemporal Models with Autoregression in Errors, Journal of Nonparametric Statistics, 24(1), 217-244, 2012.(SCI)
[17] Wang, H.* and Wang, J., Estimation of the trend function for spatio-temporal models. Journal of Nonparametric Statistics, 21(5), 567-588, 2009.(SCI)