Professor and University Scholar, Mathematics and Statistics, McMaster University
Paul McNicholas, PhD
Dr. Paul McNicholas’ research focuses on statistical approaches to clustering, aka unsupervised classification. In particular, his research group develops and implements statistical approaches based on (finite) mixture models. He has written a monograph and over 100 research articles on mixture model-based clustering. Recent work includes approaches for higher order data, including longitudinal data, as well as approaches for dealing with outliers. He is currently holds an an E.W.R. Steacie Memorial Fellowship and he is a member of the College of the Royal Society of Canada.