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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Pollock, J.L. The theory of nomic probability. Synthese 90, 263–299 (1992). https://doi.org/10.1007/BF00485353
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DOI: https://doi.org/10.1007/BF00485353