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The book of why : the new science of cause and effect

Author: Judea Pearl; Dana Mackenzie
Publisher: New York : Basic Books, 2018. ©2018
Edition/Format:   eBook : Document : English : Firest editionView all editions and formats
Summary:
"Everyone has heard the claim, "Correlation does not imply causation." What might sound like a reasonable dictum metastasized in the twentieth century into one of science's biggest obstacles, as a legion of researchers became unwilling to make the claim that one thing could cause another. Even two decades ago, asking a statistician a question like "Was it the aspirin that stopped my headache?" would have been like  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Online version:
Pearl, Judea.
Book of why.
New York : Basic Books, [2018]
(DLC) 2018005510
Print version:
Pearl, Judea.
Book of why.
New York : Basic Books, 2018
(DLC) 2017056458
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Judea Pearl; Dana Mackenzie
ISBN: 9781541616981 1541616987
OCLC Number: 1053546137
Description: 1 online resource
Contents: Machine generated contents note: ch. 1 Ladder of Causation --
ch. 2 From Buccaneers to Guinea Pigs: The Genesis of Causal Inference --
ch. 3 From Evidence to Causes: Reverend Bayes Meets Mr. Holmes --
ch. 4 Confounding and Deconfounding: Or, Slaying the Lurking Variable --
ch. 5 Smoke-Filled Debate: Clearing the Air --
ch. 6 Paradoxes Galore! --
ch. 7 Beyond Adjustment: The Conquest of Mount Intervention --
ch. 8 Counterfactuals: Mining Worlds That Could Have Been --
ch. 9 Mediation: The Search for a Mechanism --
ch. 10 Big Data, Artificial Intelligence, and the Big Questions.
Responsibility: Judea Pearl and Dana Mackenzie.

Abstract:

"Everyone has heard the claim, "Correlation does not imply causation." What might sound like a reasonable dictum metastasized in the twentieth century into one of science's biggest obstacles, as a legion of researchers became unwilling to make the claim that one thing could cause another. Even two decades ago, asking a statistician a question like "Was it the aspirin that stopped my headache?" would have been like asking if he believed in voodoo, or at best a topic for conversation at a cocktail party rather than a legitimate target of scientific inquiry. Scientists were allowed to posit only that the probability that one thing was associated with another. This all changed with Judea Pearl, whose work on causality was not just a victory for common sense, but a revolution in the study of the world"--

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"Judea Pearl is on a mission to change the way we interpret data. An eminent professor of computer science, Pearl has documented his research and opinions in scholarly books and papers. ... With the Read more...

 
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