Mathematics and Statistics Colloquium

  • October 14, 2021
  • 4:30 PM - 5:30 CST
  • MUND 514
  • Tuyen Tran, ttran18@luc.edu
  • Not open to the public.
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  • Details

    Speaker: Mena Whalen

    Title: *Clustering Panels of Nonlinear Time Series Examined Though Chicago Crime During COVID-19*

    Abstract: When do we think that a time series will change versus when the actual change in behavior occurs is a question many researchers and policy analyst pose. Advances in change point analysis can yield a more precise estimation of a change point, where in time is a time series is changing, but how do we examine and group multiple locations together based on their change points? I propose a methodology that clusters panels of nonlinear time series with change points and point anomalies while accounting for spatial characteristics. This approach groups time series together to identify latent structures that can help researchers understand when and which areas are changing together. This methodology is applied to Chicago neighborhood crime data during the COVID-19 pandemic.

    About the speaker: Dr. Whalen is an assistant professor of statistics in the department of mathematics and statistics at Loyola University Chicago. Her research interest includes time series analysis with an emphasis in change point analysis, spatial analysis, data science with data visualization, and network models. Special topic interest includes health policy, law and policy change, and criminology. She is an ambassador and co-organizer of the Women in Data Science (WiDS) conference for Chicago.