- Assistant Professor
- Statistics
- Email: haihan.yu@uri.edu
- Office Location: Tyler 137
- Website
Research
My current research focuses on non-parametric inference tools, bootstrap (resampling, subsampling), and empirical likelihood. My goal is to develop user-friendly as well as theoretically compact statistical methods. Besides non-parametric inference, I also have a broad interest in other statistical problems, including time series, change-point problems, model assessment, etc.
Education
| 2023 | Ph.D. | Iowa State University | Statistics |
| 2017 | M.Phil. | The Chinese University of Hong Kong | Risk Management Science |
| 2015 | B.Sc. | The Chinese University of Hong Kong | Risk Management Science |
Selected Publications
Chan, N.H., Ng, W. L., Yau, C. Y., and Yu. H. (2021). Optimal change-point estimation in time series. The Annals of Statistics, 49(4), DOI: 10.1214/20-AOS2039
Yu, H., Kaiser, M. S., and Nordman, D. J. (2023). A subsampling perspective for extending the validity of state-of-the-art bootstraps in the frequency domain. To appear in Biometrika.