Conceptual Issues in Bayesian Inference
Chapter 2 described the mechanics of Bayesian inference, including aspects of model construction and representation, Bayes’ theorem, and summarizing posterior distributions. These are foundational procedural aspects of Bayesian inference, which will be instantiated in a variety of settings throughout the book. This chapter treats foundational conceptual aspects of Bayesian inference.
The chief aims of this chapter are to introduce concepts of Bayesian inference that will be drawn upon repeatedly throughout the rest of the book, and to advance the argument concerning the alignment of Bayesian approaches to statistical inference. In addition, this chapter serves to further characterize features of Bayesian ...
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