Bayesianism II: Applications and Criticisms

Philosophy Compass 6 (5):321-332 (2011)
Abstract
In the first paper, I discussed the basic claims of Bayesianism (that degrees of belief are important, that they obey the axioms of probability theory, and that they are rationally updated by either standard or Jeffrey conditionalization) and the arguments that are often used to support them. In this paper, I will discuss some applications these ideas have had in confirmation theory, epistemol- ogy, and statistics, and criticisms of these applications.
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DOI 10.1111/j.1747-9991.2011.00398.x
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References found in this work BETA
Knowledge and its Limits.Timothy Williamson - 2000 - Oxford University Press.
Theory and Evidence.Clark Glymour - 1980 - Princeton University Press.
Logical Foundations of Probability.Rudolf Carnap - 1950 - Chicago]University of Chicago Press.

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Citations of this work BETA
Bayesian Models, Delusional Beliefs, and Epistemic Possibilities.Matthew Parrott - 2014 - British Journal for the Philosophy of Science (1):axu036.
Bayesian Models, Delusional Beliefs, and Epistemic Possibilities.Matthew Parrott - 2016 - British Journal for the Philosophy of Science 67 (1):271-296.

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Foundations of Bayesianism.David Corfield & Jon Williamson (eds.) - 2001 - Kluwer Academic Publishers.
Introduction: Bayesianism Into the 21st Century.Jon Williamson & David Corfield - 2001 - In David Corfield & Jon Williamson (eds.), Foundations of Bayesianism. Kluwer Academic Publishers. pp. 1--16.

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