The theory of nomic probability
Synthese 90 (2):263 - 299 (1992)
| Abstract | This article sketches a theory of objective probability focusing on nomic probability, which is supposed to be the kind of probability figuring in statistical laws of nature. The theory is based upon a strengthened probability calculus and some epistemological principles that formulate a precise version of the statistical syllogism. It is shown that from this rather minimal basis it is possible to derive theorems comprising (1) a theory of direct inference, and (2) a theory of induction. The theory of induction is not of the familiar Bayesian variety, but consists of a precise version of the traditional Nicod Principle and its statistical analogues. | |||||||||
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Patrick Maher (2010). Bayesian Probability. Synthese 172 (1).
Paul K. Moser (1988). The Foundations of Epistemological Probability. Erkenntnis 28 (2):231 - 251.
John L. Pollock (1986). The Paradox of the Preface. Philosophy of Science 53 (2):246-258.
John Pollock (1992). The Theory of Nomic Probability. Synthese 90 (2):263 - 299.
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