The Theory That Would Not Die (Library Edition)

The Theory That Would Not Die (Library Edition) : How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy

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Description

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 one hundred and fifty 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 decoding 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. "

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Product details

  • CD-Audio
  • 165.1 x 172.72 x 25.4mm | 317.51g
  • Tantor Media, Inc
  • Old Saybrook, CT, United States
  • English
  • Unabridged
  • Library ed
  • 1452636850
  • 9781452636856

About Sharon Bertsch McGrayne

Sharon Bertsch McGrayne is the author of several critically-acclaimed books about scientific discoveries, including "Prometheans in the Lab," "Nobel Prize Women in Science," and "Blue Genes and Polyester Plants." Laural Merlington has recorded well over one hundred audiobooks, including works by Margaret Atwood and Alice Hoffman, and is the recipient of several "AudioFile" Earphones Awards. An Audie Award nominee, she has also directed over one hundred audiobooks.

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Review quote

"If you are not thinking like a Bayesian, perhaps you should be." ---New York Times Book Review

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