Synopsis
Written by one of the preeminent researchers in the field, this provides a comprehensive exposition of modern analysis of causation.
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About the Author
Judea Pearl is professor of computer science and statistics at the University of California, Los Angeles, where he directs the Cognitive Systems Laboratory and conducts research in artificial intelligence, human reasoning, and philosophy of science. The author of Heuristics and Probabilistic Reasoning, he is a member of the National Academy of Engineering and a Founding Fellow of the American Association for Artificial Intelligence. Dr Pearl is the recipient of the IJCAI Research Excellence Award for 1999, the London School of Economics Lakatos Award for 2001, and the ACM Alan Newell Award for 2004. In 2008, he received the Franklin Medal for computer and cognitive science from the Franklin Institute.
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Causality: Models, Reasoning and Inference
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Cambridge University Press (edition 2nd), 2009
ISBN 10: 052189560X
ISBN 13: 9780521895606
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Causality
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Causality
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Cambridge University Press, 2009
ISBN 10: 052189560X
ISBN 13: 9780521895606
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Causality: Models, Reasoning and Inference
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ISBN 10: 052189560X
ISBN 13: 9780521895606
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Causality: Models, Reasoning and Inference
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Cambridge University Press, New York, 2009
ISBN 10: 052189560X
ISBN 13: 9780521895606
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Seller: RatBooks, Houston, TX, U.S.A.
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Owner's bookplate inside front cover. Book is in excellent condition. Binding tight. Pages clean and unmarked. Written by one of the preeminent 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. The book will open the way for including causal analysis in the standard curricula of statistics, artificial intelligence, business, epidemiology, social sciences, and economics. Students in these fields will find natural models, simple inferential procedures, and precise mathematical definitions of causal concepts that traditional texts have evaded or made unduly complicated. The first edition of 'Causality' has led to a paradigmatic change in the way that causality is treated in statistics, philosophy, computer science, social science, and economics. Seller Inventory # ABE-1775754264158
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Causality: Models, Reasoning and Inference
Published by
Cambridge University Press, 2009
ISBN 10: 052189560X
ISBN 13: 9780521895606
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Causality. Models, Reasoning and Inference.
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Cambridge University Press, 2017
ISBN 10: 052189560X
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Hardback. Condition: Very Good. xviii 451p large hardback with well preserved green dustjacket with cover image based on an image from a Quaritch catalogue, base of spine of both cloth and jacket show a little damage where the book has been knocked or dropped, book otherwise very fresh and clean, very nice copy, 2017 reprint of the second edition Language: English. Seller Inventory # 244493
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Causality: Models, Reasoning and Inference
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ISBN 10: 052189560X
ISBN 13: 9780521895606
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Causality : Models, Reasoning, and Interference
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Causality : Models, Reasoning, and Interference
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ISBN 10: 052189560X
ISBN 13: 9780521895606
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