Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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A Spatio-Temporal Mixture Model for Urban Crimes

Last modified: 2018-05-28


This paper considers the determinants of severe crimes at the censustract
level in Pittsburgh, Pennsylvania. We develop a mixture panel data model to
describe the number of severe crimes that allows for temporal as well as spatial
correlation, together with significant heterogeneity across census tracts. We use traditional Bayesian mixtures admitting uncertainty about the number of groups. We
focus on pooling regression coefficients across clusters, implying that census-tracts
belonging to the same cluster are similar. The clustering is done in a data-based


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