Talk by Dr Haeran Cho in association with the Bristol Actuarial Society.

Title: Data segmentation algorithms: Univariate mean change and beyond

Abstract: Time series data (observations indexed by time or other meaningful orderings) are encountered in many areas such as finance, economics, medicine, engineering, natural and social sciences. A recent challenge which many areas in modern statistics and data science commonly face is that, due to technological advances, observed datasets are high-dimensional as well as massive in volume. Dr. Cho’s research uses mathematical modelling to understand this data and what it tells us over time. She has developed open-source software that can help make sense of this data. She proposes to share what she has developed to date and show some use cases using open datasets. There is potential for this software to be used and developed for industry to understand patterns in data and help with forecasting future trends. 

Register here to attend in person or online. 

LT G.10, School of Mathematics, Fry Building, Woodland Road. We will be hosting refeshemnts post event in the Fry building Atrium.