8. Bayes in practice

In this chapter we finish Part I with some topics addressing aspects of Bayesian statistics in practice:

• Advantages of the Bayesian approach provides an overview of the advantages of the Bayesian framework and lists some of the key types of inference with parametric models.

• Bayesian research workflow gives a more detailed version of the workflow for principled Bayesian inference, including checklists.

• BLR-I: Background, BLR-II: Workflow, and BLR-III: Demo, provide a complete treatment of an important class of problems for Bayesian inference: Bayesian Linear Regression (or BLR).

• A Bayesian view of bias and variance gives a Bayesian view of bias and variance, and of underfitting and overfitting in regression.