Abstract
Probabilistic causality is related to the value of λ, the parameter of the predictive probability function elaborated by Gini, Johnson, and Carnap. Thus it is impossible to make estimates within Suppes’s theory of probabilistic causality. This causality can only be checked using tests of significance. Two examples of this are given. Some considerations about the corroboration of a probability law conclude the paper.
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References
Costantini, D. and Garibaldi, U.: unpublished, ‘Grand Canonical Distribution and Finite Exchangeable Random Processes’.
Fisher, R. A.: 1958, Statistical Methods for Research Workers, Oliver and Boyd, Edinburgh.
Kendall, M. G. and Stuart, A.: 1961, The Advanced Theory of Statistics, Volume 2, Griffin, London.
Suppes, P.: 1970, A Probabilistic Theory of Causality, North Holland, Amsterdam.
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© 1994 Springer Science+Business Media Dordrecht
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Costantini, D. (1994). Testing Probabilistic Causality. In: Humphreys, P. (eds) Patrick Suppes: Scientific Philosopher. Synthese Library, vol 234. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0774-7_14
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DOI: https://doi.org/10.1007/978-94-011-0774-7_14
Publisher Name: Springer, Dordrecht
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