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Causality: Models, Reasoning and Inference
Judea Pearl
€ 71.85
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Description for Causality: Models, Reasoning and Inference
hardcover. Written by one of the preeminent researchers in the field, this provides a comprehensive exposition of modern analysis of causation. Num Pages: 484 pages, 124 b/w illus. 7 tables. BIC Classification: PDA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 261 x 186 x 29. Weight in Grams: 1044. Models, Reasoning and Inference. 484 pages, 124 b/w illus. 7 tables. Written by one of the preeminent researchers in the field, this provides a comprehensive exposition of modern analysis of causation. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PDA. Dimension: 261 x 186 x 29. Weight: 1048.
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 ... Read more
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 ... Read more
Product Details
Publisher
Cambridge University Press
Number of pages
484
Format
Hardback
Publication date
2009
Condition
New
Weight
1058g
Number of Pages
484
Place of Publication
Cambridge, United Kingdom
ISBN
9780521895606
SKU
V9780521895606
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-6
About Judea Pearl
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 ... Read more
Reviews for Causality: Models, Reasoning and Inference
'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 ... Read more