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In Defence of Objective Bayesianism$
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Jon Williamson

Print publication date: 2010

Print ISBN-13: 9780199228003

Published to Oxford Scholarship Online: September 2010

DOI: 10.1093/acprof:oso/9780199228003.001.0001

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Objective Bayesian Nets

Objective Bayesian Nets

Chapter:
(p.108) 6 Objective Bayesian Nets
Source:
In Defence of Objective Bayesianism
Author(s):

Jon Williamson (Contributor Webpage)

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199228003.003.0006

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.

Keywords:   Bayesian net, credal net, objective Bayesian net, objective credal net

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