Modelling and analysis of biomedical data using Markov chain Monte Carlo
The aim of this dissertation is to present the problem of biomedical model analysis using Markov Chain Monte Carlo (MCMC), and to provide pointers to the literature for further details. We also present a case study using the most basic of MCMC techniques, the Gibbs sampler.
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/3412 |