A model for identifying and ranking dangerous accident locations: a case study in Flanders

DOI10.1111/j.1467-9574.2006.00341.xzbMath1115.62122OpenAlexW2143833984MaRDI QIDQ3429861

Filip van Den Bossche, Tom Brijs, Dimitris Karlis, Geert Wets

Publication date: 20 March 2007

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9574.2006.00341.x

zbMATH Keywords

empirical BayesGibbs samplingmultivariate Poisson distributionroad accidents

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics (62P99) Numerical analysis or methods applied to Markov chains (65C40) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (2)

Modeling the variability of rankings ⋮ Joint modelling of two count variables when one of them can be degenerate

Cites Work

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• A GENERAL METHOD TO ESTIMATE CORRELATED DISCRETE RANDOM VARIABLES
• A bivariate Poisson count data model using conditional probabilities
• Bayesian Measures of Model Complexity and Fit
• Simulated maximum likelihood estimation of multivariate mixed‐Poisson regression models, with application

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