Causality (book)

Causality: Models, Reasoning and Inference
Author Judea Pearl
Language English
Subject Causality
Publisher Cambridge University Press
Publication date
 2000, 2009
Pages 484
ISBN 978-0521895606

Causality: Models, Reasoning and Inference (2000; updated 2009) is a book by Judea Pearl .[1] It is an exposition and analysis of causality.[2][3][4] It is considered to have been instrumental in laying the foundations of the modern debate on causal inference in several fields including statistics, computer science and epidemiology.[5] In this book, Pearl espouses the Structural Causal Model (SCM) that uses structural equation modeling. [6] This model is a competing viewpoint to the Rubin causal model.

Reviews

Pearl succeeds in bringing together in a general nonparametric framework the counterfactual tradition of causal analysis with the variants of structural equation modeling worth keeping. The graph theory that he uses to accomplish this fusion is often elegant. Thus, Causality is a major statement, which all who claim to know what causality is must read.

— Stephen L. Morgan (2004)[7]

See also

References

  1. ↑ https://www.forbes.com/2009/06/18/computers-free-will-opinions-contributors-artificial-intelligence-09-judea-pearl.html
  2. ↑ https://www.theatlantic.com/business/archive/2012/05/when-correlation-is-not-causation-but-something-much-more-screwy/256918/
  3. ↑ https://www.forbes.com/sites/quora/2016/08/15/these-ideas-in-machine-learning-have-been-forgotten-but-its-time-to-bring-them-back/#3cc2d750f3f3
  4. ↑ http://newsroom.ucla.edu/releases/solving-big-datas-fusion-problem
  5. ↑ http://blog.oup.com/2014/10/deconstruction-paradoxes-sociology-epidemiology/
  6. ↑ Hoover, K. (2003). The Economic Journal, 113(488), F411–F413. Retrieved from https://www.jstor.org/stable/3590225
  7. ↑ Morgan, Stephen L. "Invited review of Causality: Models, Reasoning, and Evidence by Judea Pearl". Sociological Methods & Research. 32 (2): 411–416.
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