Criteria for a measure of evidence and two optimal measures of evidence
What is it about?
How strongly do observations support a hypothesis? This paper gives general criteria to be satisfied by any measure of the strength of evidence. It also defines two ways such a measure might be considered optimal.
Why is it important?
While the likelihood ratio measures the strength of evidence of one distribution over another, there is no general agreement on how to measure the strength of evidence for more general hypotheses. This paper explores some ways to do that using advances in information theory.
The following have contributed to this page: David R. Bickel
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