Min Tsao

Min Tsao is a Professor in the Department of Mathematics and Statistics at the University of Victoria (UVic). He holds a PhD from Simon Fraser University. His primary research interests focus on empirical likelihood methodologies, model/variable selection techniques, and group effects in regression models with strongly correlated predictors. He has contributed to advancements in constrained minimum criterion (CMC) for model selection and group least squares regression to address multicollinearity issues.

Education:

• PhD in Statistics, Simon Fraser University

Research Interests:

• Development of extended empirical likelihood frameworks for improved statistical inference
• Model selection criteria using log-likelihood ratios (e.g., CMC as an alternative to AIC/BIC)
• Handling multicollinearity through group effects and group least squares regression
• Applications of saddlepoint approximation in statistical methods

Notable Achievements:

• Recipient of the Canadian Journal of Statistics Award

Teaching:

• Fall 2024: STAT 350 (Mathematical Statistics I) and STAT 353 (Applied Regression Analysis)
• Spring 2025: Courses to be announced

Prof. Tsao’s work bridges theoretical statistics with practical applications, emphasizing robust methodologies for complex regression scenarios.