个人信息

头像

姓名: 王国长

部门: 经济学院

直属机构: 统计学系

性别:

职务:

职称: 副教授

学位:

毕业院校: 东北师范大学

联系电话:

电子邮箱: twanggc@jnu.edu.cn

办公地址:

通讯地址: 经济学院511室

邮编:

传真:

荣誉奖励:

联系方式

个人简介

学习经历

2017/02-2018/02, 香港大学,    访问学者

2006/09-2012/07, 东北师范大学,博士

2002/09-2006/07, 东北师范大学,学士




工作经历

2016/10-至今,    暨南大学经济学院,副教授

2014/07-2016/09, 暨南大学经济学院,讲师

2012/07-2014/06, 中国科学院数学与系统科学研究院应用所, 博士后

研究方向

主要论文

英文文章
1. Wang, G., Li, W. and Zhu, K.(2019). New HSIC-based tests for independence
between two stationary multivariate time series. Forthcoming in Statistica
Sinica, doi:10.5705/ss.202018.0159
2. Wang, G., Liang, B., Wang, H., Zhang, B. and Xie, B. (2019). Dimension
reduction for functional regression with a binary response. Forthcoming in
Statistical Papers,https://doi.org/10.1007/s00362-019-01083-1
3. Wang, G. and Lian, H. (2018). Functional Sliced Inverse Regression in a Repro-
ducing Kernel Hilbert Space: a Theoretical Connection to Functional Linear Re-
gression. Forthcoming in Statistical Sinica, doi:10.5705/ss.202017.0277
4. Wang, G., Zhang F. and Lian, H.(2020). Directional regression for functional
data.Journal of Statistical Planning and Inference 204,1-17.
5. Wang, G. and Song, X. (2018). Functional Sufficient Dimension Reduction for
Functional Data Classification. Journal of Classification 35,250-272.
6. Zhou, Y., Wang, G., Zhang, J. and Li, H.(2017). A hypothesis testing based
method for normalization and differential expression analysis of RNA-Seq data.
PloS ONE, 12.
7. Wang, G. (2017). Dimension reduction in functional regression with categorical
predictor. Computational Statisitcs, 32, 585-609.
8. Wang, G., Zhou, J., Wu, W. and Chen, M. (2017). Robust functional sliced
inverse regression. Statistical Papers, 58, 227-245.
9. Wang, G., Su, Y. and Shu, L. (2016). One-day-ahead daily power forecasting
of photovoltaic systems based on partial functional linear regression models.
Renewable Energy, 96, 469-478.
10. Wang, G., Feng, X. and Chen, M. (2016). Functional partial linear single-index
model. Scandinavian Journal of Statistics, 43, 261-274.
11. Wang, G., Zhou, Y., Feng, X. and Zhang, B. (2015). The hybrid method of F-
SIR and FSAVE for functional effective dimension reduction. Computational
Statistics & Data Analysis, 91, 64-77.
12. Feng, X., Wang, G., Wang, Y. and Song, X. (2015). Structure detection of
semiparametric structural equation models with Bayesian adaptive group lasso.
Statistics in Medicine, 34, 1527-1547.
13. Wang, G., Lin, N. and Zhang, B. (2014). Functional k-means inverse regres-
sion. Computational Statistics & Data Analysis, 70, 172-182.
14. Wang, G., Lin, N. and Zhang, B. (2013). Functional contour regression. Jour-
nal of Multivariate Analysis, 116, 1-13.
15. Wang, G., Lin, N. and Zhang, B. (2013). Dimension reduction in functional
regression using mixed data canonical correlation analysis. Statistics and Its
Interface, 6, 187-196.
16. Wang, G., Lin, N. and Zhang, B. (2012). Functional linear regression after
spline transformation. Computational Statistics & Data Analysis, 56,
587-601.
中文文章(*为指导学生)
1. 蒋勇,王国长,吴武清(2014).股指期货的价格发现机制:基于结构变点分析框架.财政科学, 6,1-11.
2.高桃璇(*),陈铭(*),王国长(2018).基于函数型数据的中国经济区划分.数理统计与管理,37,669-681.
3.丁辉,许文超,朱汉兵,王国长,张涛,张日权(2018). 函数型数据回归分析综述. 应用概率统计,34,630-654.
4.王国长,梁焙婷(*),王金枝(*)(2019). 改进的自适应Lasso方法在股票市场中的应用. 数理统计与管理,38,750-760.
5.王国长,高桃璇(*),徐世荣(*)(2019).  基于 Sparse-Group Lasso 的指数跟踪. 系统科学与数学 已接收。


主要著作

承担课题

发明专利

讲授课程

荣誉奖励

社会职务

1.全国工业统计学教学研究会第九届理事;

2.中国现场统计研究会资源与环境统计统计协会理事;

3.中国现场统计研究会经济与金融统计分会理事;

4.广东省现场统计学会常务理事,副秘书长