Dr. Wei Zhou obtained dual doctoral degrees from Xiamen University and City University of Hong Kong in 2023. She is currently a lecturer at the Department of Data Science of the School of Statistics and Data Science, Southwestern University of Finance and Economics (SWUFE), and also a member of the Joint Laboratory of Data Science and Business Intelligence at SWUFE. Her main research directions include causal inference, graphical modeling, high-dimensional statistics, and extreme value statistics.
Wei Zhou
/ Assistant Professor
E-mail：zhouwei23 AT swufe.edu.cn
Awards and Honors
Research Projects
- “Research on Statistical Learning Methods and Applications of Causal Chain Graph Models”, National Natural Science Foundation of China (Young Scientists Fund, Category C), 2026–2028
- “Research on Structure Learning Methods and Applications of Chain Graph Models”, Sichuan Natural Science Foundation (Young Scientists Fund), 2024–2025
- “Research on Causal Discovery for Financial Data”, Research Start-up Project for Introduced Talents of the Fundamental Research Funds for the Central Universities, 2023
Published Paper
- 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 based 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 laws conditional moment characterization of limit distribution under power normalization. Journal of Southwest University (Natural Science Edition), 41, 78-83.