Objective Bayesian Nets
Objective Bayesianism has been criticized on the grounds‐that representing and reasoning with maximum entropy probability functions appears to be computationally infeasible for all but small problems (see, e.g. Pearl 1988, p.463). In this chapter we develop computational machinery that permits efficient representation and inference for objective Bayesian probability. This is the machinery of objective Bayesian nets and objective credal nets. Bayesian and credal nets are introduced in §6.1. They are adapted to handle objective Bayesian probability in §6.2. Then, by way of example, the formalism is applied to the problem of cancer prognosis in §6.3.
Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
If you think you should have access to this title, please contact your librarian.