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Synthese

Volume 121 (1-2)

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Introduction to the special issue on statistics and causation Brian Skyrms

pp.1-2

https://doi.org/10.1023/A:1005250012843

Causal diversity and the Markov condition Nancy Cartwright

pp.3-27

https://doi.org/10.1023/A:1005225629681

Are there algorithms that discover causal structure? David Freedman Paul Humphreys

pp.29-54

https://doi.org/10.1023/A:1005277613752

Rabbit hunting Clark Glymour

pp.55-78

https://doi.org/10.1023/A:1005229730590

Lessons from quantum mechanics Daniel M. Hausman

pp.79-92

https://doi.org/10.1023/A:1005281714660

Probabilities of causation

three counterfactual interpretations and their identification

Judea Pearl

pp.93-149

https://doi.org/10.1023/A:1005233831499

Association, causation, and marginal structural models James M. Robins

pp.151-179

https://doi.org/10.1023/A:1005285815569

The noninvariance of deterministic causal models Patrick Suppes

pp.181-198

https://doi.org/10.1023/A:1005237916478

Causal interpretation in systems of equations Jim Woodward

pp.199-247

https://doi.org/10.1023/A:1005242000548

Publication details

Journal: Synthese

Volume: 121

Issue: 1-2

Year: 1999

Full citation:

(1999) Synthese 121 (1-2).