Multivariate hierarchical analysis of car crashes data considering a spatial network lattice

Gilardi, A, Jorge, M, Riccardo, B et al. (1 more author) (2022) Multivariate hierarchical analysis of car crashes data considering a spatial network lattice. Journal of the Royal Statistical Society Series A: Statistics in Society, 185 (3). pp. 1150-1177. ISSN 0964-1998

Abstract

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Item Type: Article
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© 2022 The Authors. Journal of the Royal Statistical Society: Series A (Statistics in Society) published by John Wiley & Sons Ltd on behalf of Royal Statistical Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Bayesian hierarchical models, car crashes data, MAUP, multivariate modelling, network lattice, spatial networks
Dates:
  • Published: July 2022
  • Published (online): 27 March 2022
  • Accepted: 12 January 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Sustainable Transport Policy (Leeds)
Funding Information:
Funder
Grant number
Department of Transport
No External Reference
Department of Transport
No External Reference
Department of Transport
No External Reference
Department of Transport
RG98867
ESRC (Economic and Social Research Council)
Not Known
Depositing User: Symplectic Publications
Date Deposited: 24 Jan 2022 14:46
Last Modified: 25 Jun 2023 22:53
Status: Published
Publisher: Wiley
Identification Number: 10.1111/rssa.12823
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