钟威

教授

美国宾夕法尼亚州立大学统计学博士

电话:

电子邮件:wzhong@xmu.edu.cn

办公室:经济楼D331

Office Hours:


个人简介 研究成果 研究项目

钟威,现任厦门大学王亚南经济研究院和经济学院统计系教授、博士生导师。2012年获得美国宾夕法尼亚州立大学统计学博士学位,2014年和2017年分别破格晋升副教授和教授,2018年入选厦门大学“南强青年拔尖人才”(A类),国家自然科学基金优秀青年基金获得者(2019),福建省杰出青年基金获得者(2019)。主要从事高维数据统计分析、统计学习算法、计量经济学、统计学和数据科学的应用等研究。先后担任美国统计协会(ASA)期刊《Statistical Analysis and Data Mining》和加拿大统计学会期刊《Canadian Journal of Statistics》的AE,在The Annals of Statistics, Journal of the American Statistical Association, Biometrika, Journal of Econometrics, Journal of Business & Economic Statistics, Biometrics, Annals of Applied Statistics,  Statistica Sinica,中国科学数学等国内外统计学权威期刊发表(含接收)20多篇论文,其中入选ESI1%高被引论文2篇。主要讲授《数理统计》、《广义线性模型》、《计量经济学》、《统计数据分析》等本科和研究生课程,多次获得学院教学优秀奖2016年获得厦门大学第五届英语教学比赛一等奖,2020年获得厦门大学第十五届青年教师技能比赛特等奖,2021年获得厦门大学教学创新大赛一等奖,2021年获得福建省“向上向善好青年”称号。

 

代表性成果论文:

备注:下横线表示指导的学生,*表示通讯作者,#表示共同一作(姓氏字母顺序)

²  Yan Sun, Chuang Wan, Wenyang Zhang and Wei Zhong*#. (2022+) A Multi-Kink Quantile Regression Model with Common Structure for Panel Data Analysis. Journal of Econometrics, accepted.

²  Wei Zhou, Xin He, Wei Zhong and Junhui Wang*. (2022+) Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers. Journal of Computational and Graphical Statistics, accepted.

²  Chuang Wan, Wei Zhong*, Wenyang Zhang and Changliang Zou. (2022+) Multi-Kink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis. Biometrics, forthcoming.

²  Wei Zhong*, Chuang Wan, Wenyang Zhang. (2021+) Estimation and Inference for Multi-Kink Quantile Regression. Journal of Business & Economic Statistics, forthcoming. [R package: MultiKink]

²  Wenwen Guo, Wei Zhong*, Sunpeng Duan, Hengjian Cui. (2022) Conditional Test for Ultrahigh Dimensional Linear Regression Coefficients. Statistica Sinica, 32, 1-29.

²  Wei Zhong, Sunpeng Duan and Liping Zhu* (2020). `Forward Additive Regression for Ultrahigh Dimensional Nonparametric Models. Statistica Sinica, 30, 175-192.

²  Yaowu Zhang, Wei Zhong# and Liping Zhu* (2020). A Lack-of-fit Test in Sufficient Dimension Reduction of Conditional Mean for Ultrahigh Dimensional Data.  Statistica Sinica, 30, 1971-1993.

²  Efang Kong, Yingcun Xia* and Wei Zhong*# (2019). Composite Coefficient of Determination and Its Application in Ultrahigh Dimensional Variable Screening. Journal of the American Statistical Association, 114, 1740-1751.

²  Qingliang Fan* and Wei Zhong#*. (2018) Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective. Journal of Business & Economic Statistics, 36(3), 388-399.  

²  Hengjian Cui, Wenwen Guo and Wei Zhong#. (2018) Test for High Dimensional Regression Coefficients Using Refitted Cross-validation Variance Estimation. The Annals of Statistics. 46, 958-988.

²  Liping Zhu, Kai Xu, Runze Li* and Wei Zhong*. (2017) Projection correlation between two random vectors. Biometrika, 104(4), 829-843.

²  Wei Zhong#, Liping Zhu, Runze Li and Hengjian Cui. (2016) Regularized Quantile Regression and Robust Feature Screening for Single Index Models. Statistica Sinica, 26, 69-95.

²  Hengjian Cui, Runze Li and Wei Zhong*#. (2015) Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis.  Journal of the American Statistical Association, 110, 630-641.

²  Jiahan Li, Wei Zhong*, Runze Li and Rongling Wu. (2014) A Fast Algorithm for Detecting Gene-Gene Interactions in Genome-Wide Association Studies. Annals of Applied Statistics, 8, 2292-2318.  

²  Danna Coffman and Wei Zhong. (2012) Assessing Mediation Using Marginal Structural Models in the Presence of Confounding and Moderation. Psychological Methods, 17(4), 642–664.

²  Runze Li, Wei Zhong*# and Liping Zhu. (2012) Feature Screening via Distance Correlation Learning. Journal of the American Statistical Association, 107, 1129-1139.  

[1]   国家自然科学基金委员会,优秀青年项目, 11922117,“超高维数据的变量筛选和假设检验”,2020-012022-12120万元,在研,主持。

[2]   福建省科技厅,杰出青年基金,2019J06004,“高维数据的统计学习和数学理论”,项目执行时间:2019-012021-1220万元,在研,主持。

[3]   国家自然科学基金委员会,面上项目, 11671334,“高维回归系数的假设检验”,2017-012020-1248万元,结题,主持。

[4]   国家自然科学基金青年项目, 11301435,“超高维数据分析的确定独立扫描方法:统计理论及其应用”,2014-012016-1223万元,结题,主持。