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;^[1] updated 2009^[2]) is a book by Judea Pearl.^[3] It is an exposition and analysis of causality.^[4]^[5] 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.^[6] In this book, Pearl espouses the Structural Causal Model (SCM) that uses structural equation modeling.^[7] 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.

^ Judea Pearl (2000). Causality: Models, Reasoning and Inference. Cambridge University Press. ISBN 978-0-521-77362-1. OL 15495862M. Wikidata Q108441215.
^ Judea Pearl (2009). Causality (2nd ed.). New York City: Cambridge University Press. ISBN 978-0-521-89560-6. OCLC 1261134347. OL 27305967M. Wikidata Q108441243.
^ Pearl, Judea (June 18, 2009). "Giving Computers Free Will". Forbes. Archived from the original on January 12, 2020. Retrieved January 12, 2020.
^ McArdle, Megan (May 11, 2012). "When Correlation Is Not Causation, But Something Much More Screwy". The Atlantic. Archived from the original on August 18, 2019. Retrieved January 12, 2020.
^ Chin, Matthew (July 22, 2016). "Solving big data's 'fusion' problem". UCLA. Archived from the original on October 16, 2019. Retrieved January 12, 2020.
^ Porta, Miquel (October 17, 2014). "The deconstruction of paradoxes in epidemiology". OUPblog. Archived from the original on September 26, 2019. Retrieved January 12, 2020.
^ Hoover, K. (2003). The Economic Journal, 113(488), F411–F413. Retrieved from https://www.jstor.org/stable/3590225

[1] Judea Pearl (2000). Causality: Models, Reasoning and Inference. Cambridge University Press. ISBN 978-0-521-77362-1. OL 15495862M. Wikidata Q108441215.

[2] Judea Pearl (2009). Causality (2nd ed.). New York City: Cambridge University Press. ISBN 978-0-521-89560-6. OCLC 1261134347. OL 27305967M. Wikidata Q108441243.

[3] Pearl, Judea (June 18, 2009). "Giving Computers Free Will". Forbes. Archived from the original on January 12, 2020. Retrieved January 12, 2020.

[4] McArdle, Megan (May 11, 2012). "When Correlation Is Not Causation, But Something Much More Screwy". The Atlantic. Archived from the original on August 18, 2019. Retrieved January 12, 2020.

[5] Chin, Matthew (July 22, 2016). "Solving big data's 'fusion' problem". UCLA. Archived from the original on October 16, 2019. Retrieved January 12, 2020.

[6] Porta, Miquel (October 17, 2014). "The deconstruction of paradoxes in epidemiology". OUPblog. Archived from the original on September 26, 2019. Retrieved January 12, 2020.

[7] Hoover, K. (2003). The Economic Journal, 113(488), F411–F413. Retrieved from https://www.jstor.org/stable/3590225

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