UC Irvine Today
Learning about The Influence of Spatial and Temporal Proximity using Regression Trees
With Ines Levin, professor of political science.
Learning about the impact of localized events taking place over time is a multi-faceted problem, as it requires taking into account the influence of multiple dimensions, including: geographical location, timing, and attributes of events. In this talk, Levin argues that traditional regression approaches-which assume the existence of a linear, or otherwise known, relationship between predictors and outcomes-are inappropriate for learning about the impact of spatial and temporal proximity to events.
Thursday, December 7, 2017 at 4:00pm to 5:00pm
Social Science Plaza A, 2112
Pereira Drive, Irvine, CA 92697