Title: A Class of Multivariate Latent Markov Model for Clustering Patterns of Criminal Activity
Authors: PENNONI Fulvia
Citation: Proceedings of Classification and Data Analysis 2005 p. 237-240
Publisher: Monte Universita' parma editore s.r.l.
Publication Year: 2005
JRC N°: JRC31440
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC31440
Type: Articles in periodicals and books
Abstract: We introduce a class of multivariate latent Markov models with covariates for the investigation of criminal trajectories. For the maximum likelihood estimation of these models we outline an EM-type algorithm. We also show how by fitting a suitable sequance of nested models belonging to the proposed class, we can perform a hierarchical classification of the crimes into homegeneous groups.
JRC Directorate:Space, Security and Migration

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