Causality (book) explained
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] 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.[4] In this book, Pearl espouses the Structural Causal Model (SCM) that uses structural equation modeling.[5] This model is a competing viewpoint to the Rubin causal model. Some of the material from the book was reintroduced in the more general-audience targeting The Book of Why.
Reviews
The book gave Pearl the 2001 Lakatos Award in Philosophy of Science.
See also
External links
Notes and References
- Web site: Giving Computers Free Will. Pearl. Judea. 2009-06-18. Forbes. en. live. https://web.archive.org/web/20200112102810/https://www.forbes.com/2009/06/18/computers-free-will-opinions-contributors-artificial-intelligence-09-judea-pearl.html. 2020-01-12. 2020-01-12.
- Web site: When Correlation Is Not Causation, But Something Much More Screwy. McArdle. Megan. 2012-05-11. The Atlantic. en-US. live. https://web.archive.org/web/20190818172114/https://www.theatlantic.com/business/archive/2012/05/when-correlation-is-not-causation-but-something-much-more-screwy/256918/. 2019-08-18. 2020-01-12.
- Web site: Solving big data's 'fusion' problem. Chin. Matthew. 2016-07-22. UCLA. en-US. live. https://web.archive.org/web/20191016114900/http://newsroom.ucla.edu/releases/solving-big-datas-fusion-problem. 2019-10-16. 2020-01-12.
- Web site: The deconstruction of paradoxes in epidemiology. Porta. Miquel. 2014-10-17. OUPblog. en. live. https://web.archive.org/web/20190926193721/http://blog.oup.com/2014/10/deconstruction-paradoxes-sociology-epidemiology/. 2019-09-26. 2020-01-12.
- Hoover, K. (2003). The Economic Journal, 113(488), F411–F413. Retrieved from https://www.jstor.org/stable/3590225
