Wednesday, October 18, 2023
Dr. Alexander Sharp completed a PhD in statistics under the supervision of Dr. Ryan Browne. His research focused on the modelling and estimation of functional finite mixture models.
“These are generative models for functional data which we usually employ with the hope of identifying meaningful groups from unlabelled data. For example, in one application, we used a functional finite mixture model to determine what type of pitch was thrown in a baseball game based on the observed trajectory of the ball,” he explains.
You can read the full article, including information about five other PhD graduates, on Waterloo News.