Shoja Chenouri
Title:听Change-point analysis for complex data structures
听
Abstract:
The change-point analysis is more than sixty years old. Over this long period, it has been an important subject of interest in many scientific disciplines such as finance and econometrics, bioinformatics and genomics, climatology, engineering, and technology.
In this talk, I will provide a general overview of the topic alongside some historical notes. I will then review the most recent and transformative advancements on the subject. Finally, I will discuss the change-point methodologies that my research team has developed over the past several years, covering various complex data structures.
Speaker
Shoja Chenouri is a Professor and associate chair in the Department of Statistics and Actuarial Science at the University of Waterloo. Professor Chenouri鈥檚 research interests include: data depth, multivariate nonparametric and robust methods, geometry of high-dimensional data, multivariate quality control, dimensionality reduction.