In science, business, and policymaking -- anywhere data are used in prediction -- two sorts of problems requiring very different methods of analysis often arise. The first, problems of recognition and classification, concerns learning how to use some features of a system to accurately predict other features of that system. The second, problems of causal discovery, concerns learning how to predict those changes to some features of a system that will result if an intervention changes other features. This book is about the ...
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In science, business, and policymaking -- anywhere data are used in prediction -- two sorts of problems requiring very different methods of analysis often arise. The first, problems of recognition and classification, concerns learning how to use some features of a system to accurately predict other features of that system. The second, problems of causal discovery, concerns learning how to predict those changes to some features of a system that will result if an intervention changes other features. This book is about the second -- much more difficult -- type of problem. Typical problems of causal discovery are: How will a change in commission rates affect the total sales of a company? How will a reduction in cigarette smoking among older smokers affect their life expectancy? How will a change in the formula a college uses to award scholarships affect its dropout rate? These sorts of changes are interventions that directly alter some features of the system and perhaps -- and this is the question -- indirectly alter others. The contributors discuss recent research and applications using Bayes nets or directed graphic representations, including representations of feedback or recursive systems. The book contains a thorough discussion of foundational issues, algorithms, proof techniques, and applications to economics, physics, biology, educational research, and other areas.
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Add this copy of Computation, Causation, and Discovery to cart. $5.00, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 1999 by AAAI Press.
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Good. Used with wear and limited markings but is still in solid reading condition. Creasing and delamination to spine. Pasadena's finest new and used bookstore since 1992.
Add this copy of Computation, Causation and Discovery to cart. $16.57, good condition, Sold by Anybook rated 4.0 out of 5 stars, ships from Lincoln, UNITED KINGDOM, published 1999 by The MIT Press.
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This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1000grams, ISBN: 9780262571241.
Add this copy of Computation, Causation and Discovery to cart. $16.59, good condition, Sold by Anybook rated 4.0 out of 5 stars, ships from Lincoln, UNITED KINGDOM, published 1999 by MIT Press.
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This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1000grams, ISBN: 9780262571241.
Add this copy of Computation, Causation, and Discovery to cart. $23.00, good condition, Sold by bookbooth rated 4.0 out of 5 stars, ships from Berea, OH, UNITED STATES, published 1999 by AAAI Press/ MIT Press.
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Good. 6" x 9" Prior owner's name inked on first page upper right corner, else pages clean; binding tight; very minor wear to covers. 552 pages. Illustrated. "This book is intended for anyone interested in any area or application where data are used to inform decision makers about the likely consequences of alternative courses of action."
Add this copy of Computation, Causation, and Discovery to cart. $100.48, new condition, Sold by GridFreed rated 5.0 out of 5 stars, ships from North Las Vegas, NV, UNITED STATES, published 1999 by AAAI Press.
