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Testing Probabilistic Causality

  • D. Costantini
Part of the Synthese Library book series (SYLI, volume 234)

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.

Keywords

Monozygotic Twin Prima Facie Probabilistic Causality Twin Brother Maximum Entropy Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Costantini, D. and Garibaldi, U.: unpublished, ‘Grand Canonical Distribution and Finite Exchangeable Random Processes’.Google Scholar
  2. Fisher, R. A.: 1958, Statistical Methods for Research Workers, Oliver and Boyd, Edinburgh.Google Scholar
  3. Kendall, M. G. and Stuart, A.: 1961, The Advanced Theory of Statistics, Volume 2, Griffin, London.Google Scholar
  4. Suppes, P.: 1970, A Probabilistic Theory of Causality, North Holland, Amsterdam.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1994

Authors and Affiliations

  • D. Costantini
    • 1
  1. 1.Istituto di StatisticaUniversità degli Studi di GenovaGenovaItaly

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