Dr. Wei Zhou obtained dual doctoral degrees from Xiamen University and City University of Hong Kong in 2023. She is currently a member of the Department of Data Science at the School of Statistics and Data Science, and also a member of the Joint Laboratory of Data Science and Business Intelligence at Southwestern University of Finance and Economics. Her main research directions include causal inference, graphical modeling, high-dimensional statistics, and extreme value statistics.
Wei Zhou
/ Lecturer
E-mail：zhouwei23 AT swufe.edu.cn
Awards and Honors
Research Projects
- 2026.01-2028.12: National Natural Science Foundation of China Young Scientists Fund (Category C), “Research on statistical learning methods and applications of causal chain graph models”
- 2024.01-2025.12: Sichuan Provincial Natural Science Foundation Youth Project, “Research on structure learning methods and applications of chain graph models”
- 2023.01-2023.12: Introduction of Talents Research Start-up Project of the Fundamental Research Funds for the Central Universities, “Research on causal discovery for financial data”
Selected Papers
- Zhang, X., Zhou, W., Liu, J., & Kang, J. (2026+). Statistical inference for mediation models with high dimensional exposures and mediators. Journal of the American Statistical Association, in press.
- Zhou, W., Kang, X., Zhong, W., & Wang, J. (2025+). Efficient learning of DAG structures in heavy-tailed data. Statistica Sinica, in press.
- Gao Y., Zhou W., & Zhong W. (2025). Binary endogenous treatment effect estimation Bbased on additive logistic regression and its application. Statistical Research, 42, 128-138.
- Zhou, W., He, X., Zhong, W., & Wang, J. (2022). Efficient learning of quadratic variance function directed acyclic graphs via topological layers. Journal of Computational and Graphical Statistics, 31(4), 1269-1279.
- Zhong, W., Zhou, W., Fan, Q., & Gao, Y. (2022). Dummy endogenous treatment effect estimation using high‐dimensional instrumental variables. Canadian Journal of Statistics, 50, 795-819.
- Zhong, W., Gao, Y., Zhou, W., & Fan, Q. (2021). Endogenous treatment effect estimation using high-dimensional instruments and double selection. Statistics & Probability Letters, 169, 108967.
- Zhou, W., & Peng, Z. (2017). Asymptotic behavior of bivariate Gaussian powered extremes. Journal of Mathematical Analysis and Applications, 455, 923-938.
- Zhou, W., & Ling, C. (2016). Higher-order expansions of powered extremes of normal samples. Statistics & Probability Letters, 111, 12-17.
- Peng, X., Zhou, W., & Peng, Z. (2019). Conditions Based on Conditional Moments for p-Max Stable LawsConditional Moment Characterization of Limit Distribution Under Power Normalization. Journal of Southwest University (Natural Science Edition), 41: 78-83.