Dr. Wei Zhou obtained dual doctoral degrees from Xiamen University and City University of Hong Kong in 2023. Zhou is currently a member of the Department of Data Science, School of Statistics and the Joint Laboratory of Data Science and Business Intelligence at Southwestern University of Finance and Economics. Her main research directions are 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
- 2024.01-2025.12: Sichuan Provincial Natural Science Foundation Youth Project “Research on Structure Learning Methods and Applications of Chain Graph Models”
- 2023.09-2023.12: Central Universities Basic Research Funds for Introduction of Talents Research Start-up Funding Project “Research on Causal Discovery Methods for Financial Data”
Selected Papers
- Zhou, W., Kang, X., Zhong, W., & Wang, J. (2025+). Efficient learning of DAG structures in heavy-tailed data. Statistica Sinica, in press.
- 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.
- 彭茜, 周玮 & 彭作祥. (2019). 幂赋范极值分布的条件矩刻画. 西南大学学报(自然科学版), 41: 78-83.