ABSTRACT
We now shift gears, returning from serious mathematics and probability, to a more philosophical inquiry, the making of good decisions. The sense in which the recommended decisions are good is an important matter to be explained. In addition to explaining utility theory, this chapter explains why the conditional distribution of the parameters θ after seeing the data x is a critical goal of Bayesian analyses, as shown in section 7.7.
