David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
There is considerable confusion about the role of p-values in statistical model checking. To clarify that point, I introduce the distinction between measures of surprise and measures of evidence which come with different epistemological functions. I argue that p-values, often understood as measures of evidence against a null model, do not count as proper measures of evidence and are closer to measures of surprise. Finally, I sketch how the problem of old evidence may be tackled by acknowledging the epistemic role of surprise indices.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Kent W. Staley (2005). Agency and Objectivity in the Search for the Top Qjjark. In P. Achinstein (ed.), Scientific Evidence: Philosophical Theories & Applications. The Johns Hopkins University Press.
Amit Pundik, What is Wrong with Statistical Evidence? The Attempts to Establish an Epistemic Deficiency.
Elliott Sober (1998). To Give a Surprise Exam, Use Game Theory. Synthese 115 (3):355-373.
Kent Staley (2012). Strategies for Securing Evidence Through Model Criticism. European Journal for Philosophy of Science 2 (1):21-43.
Steven Gimbel (1999). Peirce Snatching: Towards a More Pragmatic View of Evidence. [REVIEW] Erkenntnis 51 (2-3):207-231.
Stephan Merz (2002). Model Checking Techniqes for the Analysis of Reactive Systems. Synthese 133 (1-2):173 - 201.
Hillel D. Braude (2009). Clinical Intuition Versus Statistics: Different Modes of Tacit Knowledge in Clinical Epidemiology and Evidence-Based Medicine. Theoretical Medicine and Bioethics 30 (3):181-198.
Kent W. Staley, Strategies for Securing Evidence Through Model Criticism: An Error-Statistical Perspective.
J. V. Howard (2009). Significance Testing with No Alternative Hypothesis: A Measure of Surprise. [REVIEW] Erkenntnis 70 (2):253 - 270.
Added to index2009-01-28
Total downloads18 ( #100,479 of 1,140,280 )
Recent downloads (6 months)3 ( #61,130 of 1,140,280 )
How can I increase my downloads?