Counterexamples to a likelihood theory of evidence

Minds and Machines 16 (3):319-338 (2006)
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Abstract

The likelihood theory of evidence (LTE) says, roughly, that all the information relevant to the bearing of data on hypotheses (or models) is contained in the likelihoods. There exist counterexamples in which one can tell which of two hypotheses is true from the full data, but not from the likelihoods alone. These examples suggest that some forms of scientific reasoning, such as the consilience of inductions (Whewell, 1858. In Novum organon renovatum (Part II of the 3rd ed.). The philosophy of the inductive sciences. London: Cass, 1967), cannot be represented within Bayesian and Likelihoodist philosophies of science.

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Malcolm Forster
University of Wisconsin, Madison

Citations of this work

The Teleological Argument: An Exploration of the Fine‐Tuning of the Universe.Robin Collins - 2009 - In William Lane Craig & J. P. Moreland (eds.), The Blackwell Companion to Natural Theology. Oxford, UK: Wiley‐Blackwell. pp. 202–281.
Challenges to Bayesian Confirmation Theory.John D. Norton - 2011 - In Prasanta S. Bandyopadhyay & Malcolm R. Forster (eds.), Handbook of the Philosophy of Science, Vol. 7: Philosophy of Statistics. Elsevier B.V.. pp. 391-440.
A Philosopher’s Guide to Empirical Success.Malcolm R. Forster - 2007 - Philosophy of Science 74 (5):588-600.
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References found in this work

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
Logic of Statistical Inference.Ian Hacking - 1965 - Cambridge, England: Cambridge University Press.

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