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  E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/670481486 Title: The theory that would not die : how Bayes' rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy Author: Sharon Bertsch McGrayne Publisher: New Haven [Conn.] : Yale University Press, ©2011. ISBN/ISSN: 9780300169690 0300169698 9780300188226 0300188226 OCLC:670481486

  
  

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The theory that would not die : how Bayes' rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy

Author:	Sharon Bertsch McGrayne
Publisher:	New Haven [Conn.] : Yale University Press, ©2011.
Edition/Format:	Book : EnglishView all editions and formats
Summary:	"Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years--at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information, even breaking Germany's Enigma code during World War II, and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security. Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time."--  Read more...
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Subjects	Bayesian statistical decision theory -- History. SCIENCE / History MATHEMATICS / History & Philosophy View all subjects
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