The Bayesian approach to statistics and decision analysis is establishing itself as a powerful and practical tool to support the non-statistical, but otherwise technical, modeler. Recent advances in computational techniques have made Bayesian methods both accessible and widely applicable. This collection provides an argument for the wide application of Bayesian methods and includes an extensive collection of examples, techniques, and advice.

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