David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Minds and Machines 16 (3):319-338 (2006)
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.
|Keywords||The likelihood principle The law of likelihood Evidence Bayesianism Likelihoodism Curve fitting Regression Asymmetry of cause and effect|
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Malcolm Forster (2007). A Philosopher's Guide to Empirical Success. Philosophy of Science 74 (5):588-600.
Theo A. F. Kuipers (2009). Empirical Progress and Truth Approximation by the 'Hypothetico-Probabilistic Method'. Erkenntnis 70 (3):313 - 330.
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