TY - JOUR AU - Marchant, Roman AU - Haan, Sebastian AU - Clancey, Garner AU - Cripps, Sally PY - 2018 DA - 2018/06/19 TI - Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression JO - Security Informatics SP - 1 VL - 7 IS - 1 AB - This paper describes the use of machine learning techniques to implement a Bayesian approach to modelling the dependency between offence data and environmental factors such as demographic characteristics and spatial location. The main goal of this paper is to provide a fully probabilistic approach to modelling crime which reflects all uncertainties in the prediction of offences as well as the uncertainties surrounding model parameters. SN - 2190-8532 UR - https://doi.org/10.1186/s13388-018-0030-x DO - 10.1186/s13388-018-0030-x ID - Marchant2018 ER -