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Realism versus instrumentalism in a new statistical framework
Philosophy of Science 73 (4):440-447 (2006)
Abstract
In this paper, I offer a new defense of scientific realism, tailored for the Akaikean paradigm of statistical hypothesis testing. After proposing definitions of verisimilitude and predictive success, I use computer simulations to show how the latter depends on the former, even in the kind of case featured in a recent argument for instrumentalism.Author's Profile
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Citations of this work
Formal Methods in the Philosophy of Science.Leon Horsten & Igor Douven - 2008 - Studia Logica 89 (2):151-162.
Simplicity and model selection.Guillaume Rochefort-Maranda - 2016 - European Journal for Philosophy of Science 6 (2):261-279.
The role of Bayesian philosophy within Bayesian model selection.Jan Sprenger - 2013 - European Journal for Philosophy of Science 3 (1):101-114.
Theory Status, Inductive Realism, and Approximate Truth: No Miracles, No Charades.Shelby D. Hunt - 2011 - International Studies in the Philosophy of Science 25 (2):159 - 178.
References found in this work
On the Origin of Species by Means of Natural Selection.Charles Darwin - 1897 - New York: Heritage Press. Edited by George W. Davidson.
The origin of species by means of natural selection.Charles Darwin - 1859 - Franklin Center, Pa.: Franklin Library. Edited by J. W. Burrow.
How to Tell When Simpler, More Unified, or Less A d Hoc Theories Will Provide More Accurate Predictions.Malcolm R. Forster & Elliott Sober - 1994 - British Journal for the Philosophy of Science 45 (1):1-35.
Prediction versus accommodation and the risk of overfitting.Christopher Hitchcock & Elliott Sober - 2004 - British Journal for the Philosophy of Science 55 (1):1-34.
Instrumentalism, Parsimony, and the Akaike Framework.Elliott Sober - 2002 - Philosophy of Science 69 (S3):S112-S123.
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