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This edition of 'Bayesian Inference' has been expanded to include additional chapters on Markov Chain Monte Carlo methods, discrete data models and non-parametric models. Existing chapters have also been thoroughly revised and updated and there is greater coverage of computational methods and of model comparison and criticism. There is also an additional chapter of case studies, providing practical illustrations of the theory presented throughout this book.