Regression Methods for Network Indexed Data: Modeling Occurrences of Burglary in Boston, Massachusetts by Elizabeth Upton, Boston University
Wed, October 17th, 2018
1:10 pm - 1:50 pm
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Regression Methods for Network Indexed Data: Modeling Occurrences of Burglary in Boston, Massachusetts by Elizabeth Upton, Boston University, today 1:10 – 1:50 pm, Statistics Colloquium
Abstract: After defining and giving examples of network data, we introduce our motivating example: modeling occurrences of residential burglary in Boston, MA. Viewing the city of Boston as a network of streets and intersections, we discuss a generalized linear model composed of vertex indexed predictors. We introduce the graph Laplacian as a regularization tool and briefly discuss the interpretive power of our proposed model.