STATISTICS Seminars Series: Martin Singull

Topic Supervised learning for repeated measures data

Abstract Multivariate repeated measures data, which correspond to multiple measurements that are taken over time on each unit or subject, are common in various applications such as medicine, pharmacy, environmental research, engineering, business, finance, etc. In this presentation we will discuss supervised learning, i.e., model fitting and classification, of repeated measurements following a Growth Curve model, which is also known as a bilinear regression model. In the end of the presentation we will also consider some real data example.