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Exact Bayesian inference and model selection for some infection models

Clancy, D (Liverpool)
Friday 24 November 2006, 15:45-17:00

Seminar Room 1, Newton Institute


While much progress in the analysis of infectious disease data depends upon MCMC methodology, the simpler and more exact method of rejection sampling can sometimes be very useful. Using examples of influenza data from a population divided into households, this talk will illustrate the use of rejection sampling in model fitting; use of an initial sample to improve the efficiency of the algorithm; selection between competing models of differing dimensionality.



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