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Topological Tools for Time Series Analysis

Topology, Geometry and Data Seminar
April 11, 2023
4:00 pm - 5:00 pm
CH 240

Title:  Topological Tools for Time Series Analysis

Speaker:  Sarah Tymochko (UCLA)

Speaker's URL:  https://www.sarahtymochko.com

Abstract:  Topological data analysis (TDA) is a field with tools to quantify the shape of data in a manner that is concise and robust using concepts from algebraic topology. Persistent homology, one of the most popular tools in TDA, has proven useful in applications to time series data, detecting shape that changes over time and quantifying features like periodicity. In this talk, I will present two applications using tools from TDA to study time series data: the first using persistent homology to analyze patterns in hurricane satellite imagery, and the second using zigzag persistence, a generalization of persistent homology, to detect changes in behavior in dynamical systems.

URL associated with Seminar:  https://tgda.osu.edu/activities/tdga-seminar/