Theoretical Foundations of Bayesian Analysis

Catalog description

The foundational ideas and structure of Bayesian theory from its axiomatic and fundamental assumptions, including Savages axioms, complete class theorems, sequential properties, prior selection, model selection, Bayesian nonparametrics, and asymptotics for both the parametric and nonparametric cases.