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Min Tsao is a Professor in the Department of Mathematics and Statistics at the University of Victoria. He holds a PhD from Simon Fraser University and specializes in empirical likelihood and model selection methodologies. His research primarily focuses on developing advanced statistical techniques to improve the estimation and selection of regression models. Tsao has made significant contributions to understanding group effects in linear models, particularly in scenarios with strongly correlated predictor variables. He has developed a constrained minimum criterion (CMC) for selecting regression models using the log-likelihood ratio, providing a frequentist alternative to traditional criteria like AIC and BIC. Additionally, he has proposed methods for handling multicollinearity issues in regression through group squares regression, enhancing the accuracy of predictions in complex data settings. His work has been published in several leading statistical journals, emphasizing both theoretical developments and practical applications in applied statistics.
University of Victoria • Victoria, BC
Teaching and conducting research in various areas of mathematics and statistics, with a focus on empirical methods and model selection.
Department: Department of Computer Science. GRE is highly recommended for international students.