个人简介
教育经历
2002.9--2005. 6 安徽师范大学数学与计算机学院 理学硕士
2007.9--2010. 6 华东师范大学金融与统计学院 理学博士
工作经历
2011.2--2012.2 新加坡南洋理工大学数学系 研究员
2012.2--南京理工大学统计与金融数学系 教授
获奖荣誉
2011年获得澳大利亚联邦政府“奋进”奖
2012年获得上海市优秀博士论文奖
2016年获得江苏省“青蓝工程”中青年学术带头人
研究领域
非参数与半参数统计推断;经济统计研究方法及应用;大数据中的统计方法; 高维数据统计推断及应用
近期论文
查看导师新发文章
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1. Fan Guoliang, Xu Hongxia and Huang, Z. S. Empirical likelihood for semivarying coefficient model with measurement error in the nonparametric part. Advances in Statistical Analysis, (2016), 100:21–41 (SCI)
2. Huang, Z. S., Quanxi Shao, Zhen Pang and Bingqing Lin.Adaptive testing for the partially linear single-index model with error-prone linear covariates. Statistical Methodology, (2015), 25: 51-58 (SCI)
3. Huang, Z. S. Two adjusted empirical-likelihood-based methods in generalized varying-coefficient partially linear model. Communications in Statistics-Simulation and Computation, (2014), 43: 2252-2263 (SCI)
4. Huang, Z. S. Empirical-likelihood-based test for partially linear single-index models with error-prone linear covariates. Communications in Statistics-Simulation and Computation, (2014), in press (SCI)
5 Huang, Z. S., Zhen Pang, Bingqing Lin, Quanxi Shao. Modestructure selection in single-index-coefficient regression models. Journal of Multivariate Analysis, (2014), 125: 159-175 (SCI)
6 Huang, Z. S., Riquan Zhang and Yazhao Lv. Semiparametric inference on partially linear single-index model.Communications in Statistics-Theory and Methods, (2014), accepted (SCI)
7. Jianbo Li, Yuangyuan Wang, Huang, Z. S., Riquan Zhang and Lin Liu. Testing serial correlation in single index model. Communications in Statistics-Simulation and Computation, (2014), (DOI:10.1080/03610918.2013.800878), to appear.
8. Huang, Z. S., Zhen Pang and Tao Hu. Testing structural change in partially linear single-index models with error-prone linear covariates. Computational Statistics and Data Analysis, (2013), 59: 121-133 (SCI)
9. Huang, Z. S., Zhen Pang and Riquan Zhang. Adaptive profile- empirical-likelihood inferences for generalized single-index models. Computational Statistics and Data Analysis, (2013), 62:70 - 82 (SCI)
10. Huang, Z. S., Bingqing Lin, Fan Feng and Zhen Pang. Efficient penalized estimating method in the partially varying-coefficient single-index model. Journal of Multivariate Analysis, (2013), 114:189-200 (SCI)
11. Heung Wong, Riquan Zhang, Bartholomew Leung and Huang, Z. S. Testing the signi_cance of index parameters in varying-coefficient single-index models. Computational Statistics and Data Analysis, (2013), 57: 297-308 (SCI)
12. Jianbo Li, Huang, Z. S. and Heng Lian. Empirical likelihood inference for general transformation models with right censored data. Statistics and Computing, (2013), in press (SCI)
13. Yazhao Lv, Riquan Zhang and Huang, Z. S. Estimation of Semi-Varying Coefficient Model with Surrogate Data and Validation Sampling. Acta Mathematicae Applicatae Sinica, (2013), 29: 645-660 (SCI)
14. Huang, Z. S. and Zhang, R. Q. Profile-empirical-likelihood inferences for the single-index-coefficient regression model. Statistics and Computing, (2013), 23: 455-465 (SCI)
15. Fan, G. and Huang, Z. S. Empirical likelihood for semiparametric varying-coe_cient heteroscedastic partially linear errors-in-variables models. Communications in Statistics-Theory and Methods, (2013), 42: 2437-2450 (SCI)
16. Riquan Zhang,Weihua Zhao, Huang, Z. S., Jicai Liu. Generalized Varying-Coefficient Single-Index Model. Statistics, (2013), in press (SCI)
17. Huang, Z. S. Efficient inferences on the varying-coefficient single-index model with empirical likelihood. Computational Statistics and Data Analysis, (2012), 56: 4413-4420 (SCI)
18. Huang, Z. S. Empirical likelihood for the parametric part in partially linear errors-in-function models. Statistics and Probability Letters, (2012), 82: 63-66 (SCI)
19. Zhao W., Feng, J., Huang, Z. S. and Zhang, R. Q. Partially Linear Single-Index Beta Regression Model and Score Test. Journal of Multivariate Analysis, (2012), 103: 116-123 (SCI)
20. Huang, Z. S. Corrected empirical likelihood inference for right-censored partially linear single-index model. Journal of Multivariate Analysis, (2012), 105: 276-284(SCI)