Stochastic Independence and Causal Connection

Erkenntnis 80 (S3):605-627 (2015)
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Abstract

Assumptions of stochastic independence are crucial to statistical models in science. Under what circumstances is it reasonable to suppose that two events are independent? When they are not causally or logically connected, so the standard story goes. But scientific models frequently treat causally dependent events as stochastically independent, raising the question whether there are kinds of causal connection that do not undermine stochastic independence. This paper provides one piece of an answer to this question, treating the simple case of two tossed coins with and without a midair collision

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Michael Strevens
New York University

References found in this work

Thought.Gilbert Harman - 1973 - Princeton, NJ, USA: Princeton University Press.
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Thought.Gilbert Harman & Laurence BonJour - 1975 - Philosophical Review 84 (2):256.
Probability Out Of Determinism.Michael Strevens - 2011 - In Claus Beisbart & Stephan Hartmann (eds.), Probabilities in Physics. Oxford, GB: Oxford University Press. pp. 339--364.

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