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Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling
Academic Press (1987)
Abstract
Clark Glymour, Richard Scheines, Peter Spirtes and Kevin Kelly. Discovering Causal Structure: Artifical Intelligence, Philosophy of Science and Statistical ModelingAuthor Profiles
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Clark Glymour, Richard Scheines, Peter Spirtes and Kevin Kelly, Discovering Causal Structure: Artificial Intelligence, Philosophy of Science and Statistical Modelling Reviewed by.Mike Oaksford - 1990 - Philosophy in Review 10 (1):19-21.
Regression and Causation.Clark Glymour, Richard Scheines, Peter Spirtes & Christopher Meek - unknown
Prediction and Experimental Design with Graphical Causal Models.Peter Spirtes, Clark Glymour, Richard Scheines, Christopher Meek, S. Fineberg & E. Slate - unknown
Simulated Studies of the Reliability of Computer-Aided Model Specification Using the TETRAD, EQS and LISREL Programs.Peter Spirtes, Richard Scheines & Clark Glymour - unknown
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Thoroughly Modern Meno.Clark Glymour & Kevin T. Kelly - 1992 - In John Earman, Inference, Explanation, and Other Frustrations: Essays on the Philosophy of Science. Berkeley: University of California Press. pp. 3--22.
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Citations of this work
Causation, Prediction, and Search.Peter Spirtes, Clark Glymour, Scheines N. & Richard - 1993 - Mit Press: Cambridge.
Explanatory coherence (plus commentary).Paul Thagard - 1989 - Behavioral and Brain Sciences 12 (3):435-467.
Severe testing as a basic concept in a neyman–pearson philosophy of induction.Deborah G. Mayo & Aris Spanos - 2006 - British Journal for the Philosophy of Science 57 (2):323-357.
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