- Bayesian Anal.
- Volume 7, Number 3 (2012), 615-638.
Using Individual-Level Models for Infectious Disease Spread to Model Spatio-Temporal Combustion Dynamics
Individual-level models (ILMs), as defined by Deardon et al. (2010), are a class of models originally designed to model the spread of infectious disease. However, they can also be considered as a tool for modelling the spatio-temporal dynamics of fire. We consider the much simplified problem of modelling the combustion dynamics on a piece of wax paper under relatively controlled conditions. The models are fitted in a Bayesian framework using Markov chain Monte Carlo (MCMC) methods. The focus here is on choosing a model that best fits the combustion pattern.
Bayesian Anal. Volume 7, Number 3 (2012), 615-638.
First available in Project Euclid: 28 August 2012
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Vrbik, Irene; Deardon, Rob; Feng, Zeny; Gardner, Abbie; Braun, John. Using Individual-Level Models for Infectious Disease Spread to Model Spatio-Temporal Combustion Dynamics. Bayesian Anal. 7 (2012), no. 3, 615--638. doi:10.1214/12-BA721. https://projecteuclid.org/euclid.ba/1346158778