Due to many advances in computational methods for Bayesian inference, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible. The purpose of this volume is to present several detailed examples of applications of Bayesian methods. Each contribution is written to present a complete picture of the problem under study, and hence they may be suitable for classroom use to present real-world examples of Bayesian analysis.
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