This two volume set is a collection of 30 classic papers presenting
ideas which have now become standard in the field of Bayesian
inference. Topics covered include the central field of statistical
inference as well as applications to areas of probability theory,
information theory, utility theory and computational theory. It is
organized into seven sections: foundations, information theory and
prior distributions; robustness and outliers; hierarchical,
multivariate and non-parametric models; asymptotics; computations
and Monte Carlo methods; and Bayesian econometrics.
General
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