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Causality: Models, Reasoning and Inference 2nd Edition

4.5 4.5 out of 5 stars 141 ratings

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Editorial Reviews

Review

"Make no mistake about it: This is an important book.... The field has no shortage of lively controversy and divergent opinion, but be that as it may, this is certainly one of the contributions that will bring this material further out of the closet and into the face of the broader statistical community, a move that we should welcome both as consumers and as testers of its utility."
Journal of the American Statistical Association


"Pearl’s career has been motivated by problems of artificial intelligence, but the implications of this book are much broader. The distinctions he raises and the mathematical foundation he assembles are critical for every field of scientific endeavor. This updated edition of a modern classic deserves a broad and attentive audience."
H. Van Dyke Parunak, Computing Reviews

"Pearl’s book is about probabilistic approaches to causality and it gives, especially, empirical researchers working with observational data an immense aid to their research. It also gives theoretical statisticians something to think about as it raises many issues of estimation for example in respective data generating processes. ... This work of Pearl’s is an invaluable contribution to the current discussion on the topic of causal modeling. As described by the author his main objective of the book is to develop a framework that integrates substantive knowledge including counterfactuals (through new notations and concepts) with statistical data so as to refine the former and to interpret the latter."
Priyantha Wijayatunga, Significance

Book Description

Written by one of the preeminent researchers in the field, this provides a comprehensive exposition of modern analysis of causation.

Product details

  • Publisher ‏ : ‎ Cambridge University Press; 2nd edition (September 14, 2009)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 484 pages
  • ISBN-10 ‏ : ‎ 052189560X
  • ISBN-13 ‏ : ‎ 978-0521895606
  • Item Weight ‏ : ‎ 2.27 pounds
  • Dimensions ‏ : ‎ 7.5 x 1.5 x 11 inches
  • Customer Reviews:
    4.5 4.5 out of 5 stars 141 ratings

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Customer reviews

4.5 out of 5 stars
4.5 out of 5
141 global ratings

Top reviews from the United States

Reviewed in the United States 🇺🇸 on November 18, 2012
11 people found this helpful
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Reviewed in the United States 🇺🇸 on April 28, 2013
56 people found this helpful
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Top reviews from other countries

Arik Senderovich
5.0 out of 5 stars Great book with a good balance between math and concepts
Reviewed in Canada 🇨🇦 on July 28, 2022
One person found this helpful
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Amazon Customer
5.0 out of 5 stars Great book
Reviewed in Canada 🇨🇦 on November 7, 2020
Mil
5.0 out of 5 stars Great book
Reviewed in Canada 🇨🇦 on October 14, 2017
krono
3.0 out of 5 stars Important book but way too verbose
Reviewed in the United Kingdom 🇬🇧 on August 28, 2020
2 people found this helpful
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Ana N.
4.0 out of 5 stars Recommendable book
Reviewed in the United Kingdom 🇬🇧 on December 3, 2013
One person found this helpful
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