Causality: Models, Reasoning, and Inference

Cambridge University Press (2000)
Abstract
Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.
Keywords Causation  Probabilities
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Call number BD541.P43 2000
ISBN(s) 052189560X   0521773628   9780521773621   0521773628 (hardback)  
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Citations of this work BETA
Grounding in the Image of Causation.Jonathan Schaffer - 2016 - Philosophical Studies 173 (1):49-100.
When Mechanistic Models Explain.Carl F. Craver - 2006 - Synthese 153 (3):355-376.
Interventionism and Causal Exclusion.James Woodward - 2015 - Philosophy and Phenomenological Research 91 (2):303-347.
Dissecting Explanatory Power.Petri Ylikoski & Jaakko Kuorikoski - 2010 - Philosophical Studies 148 (2):201–219.

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Causation and Conditionals.Ernest Sosa (ed.) - 1974 - Oxford University Press.
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Causality: Models, Reasoning, and Inference Judea Pearl.Donald Gillies - 2001 - British Journal for the Philosophy of Science 52 (3):613-622.
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