Causality (book)

Causality: Models, Reasoning, and Inference
AuthorJudea Pearl
LanguageEnglish
SubjectCausality
PublisherCambridge University Press
Publication date
2000, 2009
Pages484
ISBN978-0521895606

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.

  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