Events5th International Electronic Conference on Entropy and Its Applications
Published
This submission belongs to the session B. Information Theory, Probability, Statistics, and Artificial Intelligence of the event 5th International Electronic Conference on Entropy and Its Applications
Published date
17 Nov, 2019
Citation
Michael Evans, The Measurement of Statistical Evidence as the Basis for Statistical Reasoning, in Proceedings of 5th International Electronic Conference on Entropy and Its Applications, 18 November–30 November 2019, MDPI: Basel, Switzerland, doi: 10.3390/ecea-5-06682
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The Measurement of Statistical Evidence as the Basis for Statistical Reasoning

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1. University of Toronto, Canada
Abstract

There are various approaches to the problem of how one is supposed to conduct a statistical analysis. Different analyses can lead to contradictory conclusions in some problems so this is not a satisfactory state of affairs. It seems that all approaches make reference to the evidence in the data concerning questions of interest as a justification for the methodology employed. It is fair to say, however, that none of the most commonly used methodologies is absolutely explicit about how statistical evidence is to be characterized and measured. We will discuss the general problem of statistical reasoning and the development of a theory for this that is based on being precise about statistical evidence. This will be shown to lead to the resolution of a number of problems.

Keywords
foundations of statistical reasoning
choosing and checking the ingredients
prior-data conflict
bias
measuring statistical evidence
relative belief inferences
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