Sinopsis
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, philosophy, and cognitive science.
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Acerca del autor
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, New York, 2009
ISBN 10: 052189560X
ISBN 13: 9780521895606
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Hardcover. Condición: Fine. 2nd Edition. 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. Nº de ref. del artículo: ABE-1775754264158
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Causality
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Causality
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Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Nº de ref. del artículo: 4396331-6
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Causality: Models, Reasoning and Inference
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Cambridge University Press (edition 2nd), 2009
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Hardcover. Condición: Very Good. 2nd. With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Nº de ref. del artículo: 052189560X-11-1-29
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Causality: Models, Reasoning and Inference
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Cambridge University Press, 2009
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Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_461562868
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Causality. Models, Reasoning and Inference.
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Cambridge University Press, 2017
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Hardback. Condición: 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. Nº de ref. del artículo: 244493
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Causality: Models, Reasoning and Inference
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ISBN 13: 9780521895606
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Causality : Models, Reasoning, and Interference
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ISBN 13: 9780521895606
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Causality : Models, Reasoning, and Interference
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Cambridge University Press, 2009
ISBN 10: 052189560X
ISBN 13: 9780521895606
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Causality (Hardcover)
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Cambridge University Press, Cambridge, 2009
ISBN 10: 052189560X
ISBN 13: 9780521895606
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Hardcover. Condición: new. Hardcover. 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. 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. 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, philosophy, and cognitive science. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780521895606
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