Causality

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Judea PearlCambridge University PressEdition: 2Rev e., 9/14/2009EAN 9780521895606, ISBN10: 052189560XHardcover, 484 pages, 26 x 18.5 x 3 cmLanguage: EnglishWritten by one of the pr eeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence (AI) and systems from The Cognitive Science Society.1. Introduction to probabilities, graphs, and causal models2. A theory of inferred causation3. Causal diagrams and the identification of causal effects4. Actions, plans, and direct effects5. Causality and structural models in social science and economics6. Simpson's paradox, confounding, and collapsibility7. The logic of structure-based counterfactuals8. Imperfect experimentsbounding effects and counterfactuals9. Probability of causationinterpretation and identification10. The actual cause.'Make no mistake about it: this is an important book ... The field has no shortage of lively controversy and divergent opinion, but be that as it may, this is certainly one of the contributions that will bring this material further out of the closet and into the face of the broader statistical community, a move that we should welcome both as consumers and as testers of its utility.' Journal of the American Statistical Association Show more