معرفی
Yingli Qin is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, part of the Faculty of Mathematics. His research focuses on high-dimensional statistics and random matrix theory, with applications to covariance matrix analysis and hypothesis testing. He holds a PhD in Statistics from Iowa State University, alongside MA and BSc degrees in Mathematics and Statistics from Iowa State University and Northeast Normal University, China.
Education:
- PhD in Statistics, Iowa State University, USA
- MA in Statistics, Iowa State University, USA
- BSc in Applied Mathematics, Northeast Normal University, China
Research Interests: Qin’s work emphasizes high-dimensional statistical methodologies, including covariance matrix estimation, spectral distribution analysis, and the application of random matrix theory to address challenges in large-scale data. His contributions include developing bias-reduced estimators and testing frameworks for high-dimensional datasets.
Publications: Qin has published extensively in top-tier journals such as the Annals of Statistics, Journal of Multivariate Analysis, and Biometrika, with a focus on advancing statistical theory for high-dimensional settings.
Teaching: He teaches advanced courses including Multivariate Analysis (Stat 923), Estimation and Hypothesis Testing (Stat 850/450), and Mathematical Statistics (Stat 330).
