This book is a definitive work that captures the current state of knowledge of Bayesian Analysis in Statistics and Econometrics and attempts to move it forward. It covers such topics as foundations, forecasting inferential matters, regression, computation and applications.
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A definitive work which captures the current state of knowledge in these disciplines and sheds new light on differences and similarities between the Bayesian and Frequentist approaches. Contains a collection of original papers dealing with such topics as inferential matters, the role of prior distributions, regression and related problems, model selection, computational issues, diverse types of applications, and much more.
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