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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

Event Type

Lectures / Presentations


General Public, Faculty, Staff, Students




Social Sciences


Event Sponsor

Institute for Mathematical and Behavioral Sciences

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