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Computation, Causation, and Discovery

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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. OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

: MIT Press Direct., 1999

Collation

1 online resource (xv, 552 pages) :illustrations

Language

English

ISBN/ISSN

9780262315821

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Causation.
Prediction theory.
Data mining.

Specific Detail Info

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Statement of Responsibility

Gregory F. Cooper and Clark Glymour

Other Information

Cataloger

imron

Source

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Validator

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Digital Object Identifier (DOI)

https://doi.org/10.7551/mitpress/2006.001.0001

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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