个人信息：

周玮，讲师

西南财经大学统计学院，数据科学系

电子邮箱：zhouwei23@haoyii.com

简历：

2023年取得厦门大学和香港城市大学双博士学位，主要研究方向是因果推断、图模型、高维统计和极值统计。

代表性论文：

• 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, 1-25.

• 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.

• 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, 41, 78-83

• 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 and Probability Letters, 111, 12-17.