2024年6月于华东师范大学取得理学博士学位，2024年7月在中国科学院数学与系统科学研究院从事博士后研究。主要研究方向为非参数统计推断、高维数据分析和函数型数据分析。
戴爽
/博士
电子邮箱：shdai AT amss.ac.cn
所获奖项与荣誉
主持科研项目
代表性论文
- Chen, B., Dai, S., & Yu, Z. (2025+). Intrinsic minimum average variance estimation for dimension reduction with symmetric positive definite matrices and beyond. Statistica Sinica, in press.
- Dai, S., Ming, J., & Yu, Z. (2025). A distributed minimum average variance estimation for sufficient dimension reduction. Statistics and Its Interface, 18, 315-332.
- Dai, S., Wu, P., & Yu, Z. (2024). New forest-based approaches for sufficient dimension reduction. Statistics and Computing, 34, 176.
- Dai, S., & Huang, Z. (2020). Nonparametric inference for covariate-adjusted model. Statistical and Probability Letters, 162, 108766.
- Dai, S., & Huang, Z. (2019). Estimation for varying coefficient partially nonlinear models with distorted measurement errors. Journal of the Korean Statistical Society, 48, 117-133.