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, 184 (4). pp. 1220-1244. ISSN 0964-1998



  • Virtanen, S
  • Girolami, M
Copyright, Publisher and Additional Information: © 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (
Keywords: Bayesian statistics, high-dimensional data, latent factor models, multi-view modelling, spatial and temporal methods
  • Accepted: 23 November 2020
  • Published (online): 27 January 2021
  • Published: October 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 26 Nov 2020 15:23
Last Modified: 25 Jun 2023 22:30
Status: Published
Publisher: Wiley
Identification Number: