A Bayesian Approach to Absent Evidence Reasoning

Informal Logic 31 (1):56-65 (2011)
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Abstract

Normal 0 0 1 85 487 UBC 4 1 598 11.773 0 0 0 Under what conditions is the failure to have evidence that p evidence that p is false? Absent evidence reasoning is common in many sciences, including astronomy, archeology, biology and medicine. An often-repeated epistemological motto is that “the absence of evidence is not evidence of absence.” Analysis of absent evidence reasoning usually takes place in a deductive or frequentist hypothesis-testing framework. Instead, I develop a Bayesian analysis of this motto and prove that, under plausible assumptions about the nature of evidence, the absence of evidence is evidence of absence

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Christopher Stephens
University of British Columbia

References found in this work

Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
Error and the growth of experimental knowledge.Deborah Mayo - 1996 - International Studies in the Philosophy of Science 15 (1):455-459.
Belief's Own Ethics.[author unknown] - 2004 - Behavior and Philosophy 32 (2):269-272.

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