Philosophy Compass 6 (5):321-332 (2011)
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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References found in this work BETA
Putting Logic in its Place: Formal Constraints on Rational Belief.David Christensen - 2004 - Oxford University Press.
Citations of this work BETA
Dr. Truthlove Or: How I Learned to Stop Worrying and Love Bayesian Probabilities.Kenny Easwaran - 2016 - Noûs 50 (4):816-853.
Normative Theories of Argumentation: Are Some Norms Better Than Others?Adam Corner & Ulrike Hahn - 2013 - Synthese 190 (16):3579-3610.
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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