Modelling trends in road accident frequency -- Bayesian inference for rates with uncertain exposure

DOI10.1016/j.csda.2013.10.020zbMath1506.62115DBLPjournals/csda/LloydF14OpenAlexW2031150684WikidataQ58296053 ScholiaQ58296053MaRDI QIDQ1623438

Jonathan J. Forster, Louise K. Lloyd

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://eprints.soton.ac.uk/358621/1/Louise%2520Lloyd%2520Thesis%2520March%25202013.pdf

zbMATH Keywords

disaggregationuncertaintyBayesian analysisMCMCexposureroad accidents

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15)

Uses Software

• R
• WinBUGS
• tsbridge

Cites Work

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• Inference from iterative simulation using multiple sequences
• Simulation Run Length Control in the Presence of an Initial Transient
• Accurate Approximations for Posterior Moments and Marginal Densities

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