• First

    First

Zhong, Wei

Professor

Ph.D. in Statistics, The Pennsylvania State University, 2012.

Phone:

Email:wzhong.wise at gmail.com

Office:A315

Office Hours:

Research Fields:

Homepage:



Professor Professor Phone
Email wzhong.wise at gmail.com Office A315
Office Hours Research Fields
Homepage http://wzhongwise.weebly.com/ Job Ph.D. in Statistics, The Pennsylvania State University, 2012.

个人简介 研究成果 研究项目

EDUCATION

Ph.D. in Statistics, Department of Statistics, The Pennsylvania State University (PSU), State College, PA , 2008-2012
Advisor: Professor Runze Li

B.S. in Statistics, Department of Statistics and Financial Mathematics, Beijing Normal University (BNU), Beijing, P.R. China, 2004-2008

 

RESEARCH INTERESTS

Ultrahigh/high Dimensional Data Analysis: large p small n problems, Statistical Learning, Econometrics, Applications of Statistics

 

 

 

Selected Publications:

 

[19] Wei ZhongChen Qian, Wanjun Liu, Liping Zhu and Runze Li. (2022+) Feature Screening for Interval-Valued Response with Application to Study Association between Posted Salary and Required Skills. Journal of the American Statistical Association, forthcoming.

[18] Wanjun Liu, Xiufan Yu, Wei Zhong* and Runze Li. (2022+) Projection Test for Mean Vector in High Dimensions. Journal of the American Statistical Association, forthcoming.

[17] Qingliang Fan, Ruike Wu, Yanrong Yang and Wei Zhong#. (2022+) Time-varying Minimum Variance Portfolio. Journal of Econometrics, forthcoming.

[16] 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, forthcoming.

[15] 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, 31,1269-1279.

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

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

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

[11] Wei ZhongSunpeng Duan and Liping Zhu* (2020). `Forward Additive Regression for Ultrahigh Dimensional Nonparametric Models. Statistica Sinica, 30, 175-192.

[10] 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.

[9] 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.

[8] 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.  

[7] 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.

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

[5] 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.

[4] Hengjian Cui, Runze Li and Wei Zhong*#. (2015) Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis. Journal of the American Statistical Association110, 630-641.

[3] 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.

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

 

²  PI: National Science Foundation of China for Excellent Young Scholars, 11922117. ``Feature Screening and Hypothesis Testing for Ultrahigh Dimensional Data", 1,200,000 RMB for the period 01/2020-12/2022.

²  PI: Fujian Provincial Science Foundation of China for Distinguished Young Scholars, 2019J06004. ``Statistical Learning Methods and Mathematical Theory for High Dimensional Data", 300,000 RMB for the period 07/2019-06/2022.

²  PI: National Science Foundation of China, 11671334. ``Hypothesis Tests for High Dimensional Regression Coefficients." 480,000 RMB for the period 01/2017-12/2020.

²  PI: National Science Foundation of China, 11301435. ``Sure Independence Screening for Ultrahigh Dimensional Data Analysis: Statistical Theory and Applications." 230,000 RMB for the period 01/2014-12/2016.