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Exact Bayesian inference and model selection for some infection models

Date: 
Friday 24th November 2006 - 15:45 to 17:00
Venue: 
INI Seminar Room 1
Session Chair: 
E Renshaw
Abstract: 

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.

Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons