Williamson, J. (2007) Motivating Objective Bayesianism: From Empirical Constraints to Objective Probabilities. In: Harper, W.L. and Wheeler, G.R., eds. Probability and Inference: Essays in Honour of Henry E. Kyburg Jr. College Publications, London, UK, pp. 155-183. ISBN 9781904987185.
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Objective Bayesian methodology is widely used in statistics, physics, engineering and artificial intelligence. However, every justification for this method has contained glaring holes. This paper offered an entirely new, decision-theoretic justification of objective Bayesianism. Kyburg goes half-way towards objective Bayesianism. He accepts that frequencies constrain rational belief to an interval but stops short of isolating an optimal degree of belief within this interval. I examine the case for going the whole hog.
|Item Type:||Book section|
|Additional information:||This paper offered an entirely new, decision-theoretic justification of objective Bayesianism.|
|Subjects:||B Philosophy. Psychology. Religion > B Philosophy (General)|
|Divisions:||Faculties > Humanities > School of European Culture and Languages|
|Depositing User:||Maureen Nunn|
|Date Deposited:||19 Dec 2007 18:50|
|Last Modified:||13 Jun 2012 09:43|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/1291 (The current URI for this page, for reference purposes)|
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