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The Principle of Total Evidence reprised

Authors: Taroni Franco; Aitken Colin; Bozza Silvia; Juchly Patrick;

The Principle of Total Evidence reprised

Abstract

The Principle of Total Evidence, postulated by Carnap in 1947, implies that to achieve the best assignation of a probability, all available information should be considered, subject to cost. For the evaluation of evidence, it is important that the best assignation of probability be made. The benefits of such an assignation are shown to be an increase in the expected utility of any decision made, a decrease in an expectation of an error of an inference that might be made, and an increase in the expected weight of evidence for the correct hypothesis. A practical illustration is given with reference to a recent Italian case.

Countries
United Kingdom, Italy
Keywords

Bayes’ theorem; Bayes factor; evidence evaluation; expected error; expected utility; principle of total eviden, Bayes’ theorem, Bayes factor, evidence evaluation, expected error, expected utility, principle of total evidence.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green