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.
PENNONI Fulvia;
2006-02-08
Monte Universita' parma editore s.r.l.
JRC31440
https://publications.jrc.ec.europa.eu/repository/handle/JRC31440,
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