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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 at 4:00pm to 5:00pm

Social Science Plaza A, 2112
Pereira Drive, Irvine, CA 92697

Event Type

Lectures / Presentations

Audience

General Public, Faculty, Staff, Students

Website

https://www.socsci.uci.edu/newsevents...

Cost

Free

Department

Social Sciences

Hashtag

#ucitoday

Event Sponsor

Institute for Mathematical and Behavioral Sciences

Event Contact Email

kernerj@uci.edu

Event Contact Phone

949-824-8651

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