Titlebook: Causation, Prediction, and Search; Peter Spirtes,Clark Glymour,Richard Scheines Book 1993 Springer-Verlag New York, Inc. 1993 Microsoft Ac

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Causation and Prediction: Axioms and Explications,c, and to make explicit our assumptions connecting causal structure with probability, counterfactuals and manipulations. With suitable metaphysical gyrations the assumptions could be endorsed from any of these points of view, perhaps including even the last.

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Open Problems, and appear to be quite difficult. Some are not particularly difficult but require work we have not done. All of the issues seem to us important to help fill out our understanding of the relations between causal structure and probability, and of the possibilities of causal inference and prediction.

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https://doi.org/10.1007/978-3-663-10963-1tistics, including correlation analysis, but otherwise this chapter contains all of the mathematical concepts needed in this book. Some of the same mathematical objects defined here are given special interpretations in the next chapter, but here we treat everything entirely formally.

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