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Towards that end, Bayesian methodology provides an ideal framework for tackling such challenges, and in particular offers a means of objectively comparing competing plausible models through the estimation of Bayes factors.


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Finally, we compare a number of Markov chain Monte Carlo algorithms that may be used to tackle this challenging inference problem.


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