CUED Publications database

Spatio-temporal mixed membership models for criminal activity

Virtanen, S and Girolami, M (2021) Spatio-temporal mixed membership models for criminal activity. Journal of the Royal Statistical Society. Series A: Statistics in Society. ISSN 0964-1998

Full text not available from this repository.

Abstract

We suggest a probabilistic approach to study crime data in London and highlight the benefits of defining a statistical joint crime distribution model which provides insights into urban criminal activity. This is achieved by developing a hierarchical mixture model for observations, crime occurrences over a geographical study area, that are grouped according to multiple time stamps and crime categories. The mixture components correspond to spatial crime distributions over the study area and the goal is to infer, based on the observations, how and to what degree the latent distributions are shared across the groups.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Cron Job
Date Deposited: 10 Feb 2021 21:04
Last Modified: 13 Apr 2021 07:03
DOI: 10.1111/rssa.12642