Research areas: Causal inference, graphical modeling, high-dimensional statistics, extreme value statistics
Department of Data Science, School of Statistics, Southwestern University of Finance and Economics
I obtained dual doctoral degrees from Xiamen University and City University of Hong Kong in 2023, with a focus on causal inference, graphical modeling, high-dimensional statistics, and extreme value statistics.
Zhou Wei
/Lecturer
E-mail：zhouwei23 AT swufe.edu.cn
Awards and honors
Lead 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”
Representative papers
- 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.