博士，讲师，硕士生导师

教育背景：中央财经大学统计与数学学院博士，圣路易斯华盛顿大学联合培养博士、访问学者

主讲课程：《回归分析》、《时间序列分析》、《统计建模》等

研究领域：分位数回归、广义线性模型、流数据在线统计推断、大数据分布式计算、因果推断

主要成果：

[1] Fan, Y., and Lin, N. (2024). Sequential quantile regression for stream data by least squares. Journal of Econometrics. (Accepted).

[2] Fan, Y., Lin, N., and Yu, L. (2024). Distributed quantile regression for longitudinal big data. Computational Statistics, 39, 751-779.

[3] Fan, Y., Li, J. S., and Lin, N. (2023). Residual projection for quantile regression in vertically partitioned big data. Data Mining and Knowledge Discovery, 37, 710-735.

[4] Fan, Y., and Fan, S. (2023). Distributed adaptive lasso penalized generalized linear models for big data. Communications in Statistics-Simulation and Computation, 52, 1679-1698.

[5] Fan, Y., Lin, N., and Yin, X. (2021). Penalized quantile regression for distributed big data using the slack variable representation. Journal of Computational and Graphical Statistics, 30, 557-565.

[6] Zhou, P., Yu, Z., Ma, J., Tian, M., and Fan, Y. (2021). Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates. Computational Statistics and Data Analysis, 157, 107154.

[7] 范烨 (2023). 大数据下广义线性模型的分布式估计. 北京: 中国统计出版社.

主要学术兼职：《Journal of Computational and Graphical Statistics》、《Statistics and Computing》、《Computational Statistics and Data Analysis》、《Statistical Papers》、《Computational Statistics》等学术期刊审稿人

电子邮箱：yefan319@cueb.edu.cn