ABSTRACT
The concepts involved in the Bayesian approach to inference are described in this chapter. The treatment and presentation are not exhaustive. The main interest is to show how the ingredients required for the construction of a model are formulated in a given problem and what techniques are used for understanding and extracting relevant information from the process. For a more thorough discussion of Bayesian inference, the reader is referred to the books by Berger (1985), Migon and Gamerman (1999), O’Hagan and Forster (2004), Robert (2001) and Bernardo and Smith (1994). A more philosophical approach is given by De Finetti (1974, 1975).
