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Song Cai is an Associate Professor in the School of Mathematics and Statistics at Carleton University. His research interests encompass a variety of statistical methodologies, including Empirical Likelihood, Asymptotic Theory, Density Ratio Models, and Spatio-temporal Modeling. He focuses on Non-Semi-parametric Inference and Statistical Computing, contributing to advancements in statistical methods and applications in various fields. Song Cai has shared his expertise and research findings through numerous publications and presentations, where he has explored the interplay between theoretical statistics and practical implementations. His work aims to provide robust solutions to real-world problems by employing sophisticated statistical models and techniques. Additionally, he dedicates time to teaching and mentoring students in the intricacies of mathematics and statistics, preparing the next generation of statisticians.
Includes MEng and MASc options.