Date: 2020-10-02

Time: 15:30-16:30

Zoom Link

Meeting ID: 939 8331 3215

Passcode: 096952

Abstract:

Data science is discussed along with some historical perspective. Selected problems in classification are considered, either via specific datasets or general problem types. In each case, the problem is introduced before one or more potential solutions are discussed and applied. The problems discussed include data with outliers, longitudinal data, and three-way data. The proposed approaches are generally mixture model-based.

Speaker

Paul McNicholas is a Professor and University Scholar in the Department of Mathematics and Statistics at McMaster University. His research focuses on computational statistics, data science and machine learning, especially mixture model-based clustering and classification.