Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression
Abstract Objectives 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 prob...
Main Authors: | Roman Marchant, Sebastian Haan, Garner Clancey, Sally Cripps |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2018-06-01
|
Series: | Security Informatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13388-018-0030-x |
Similar Items
-
On Optimal Properties of Special Nonlinear and Semi-infinite Problems Arising in Parametric Optimization
by: Olga Kostyukova, et al.
Published: (2017-06-01) -
Semi-parametric identification of determinants of health expenditures – evidence from inpatients in China
by: Juying, Zeng
Published: (2014) -
Managerial ownership and performance: A commentary essay
by: Cheung, Adrian
Published: (2010) -
Bayesian Gaussian regression analysis of malnutrition for children under five years of age in Ethiopia, EMDHS 2014
by: Seid Mohammed, et al.
Published: (2018-03-01) -
Bayesian Optimization Based on K-Optimality
by: Liang Yan, et al.
Published: (2018-08-01)