The Theory that would not Die - How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines and Emerged Triumphant from

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9780300188226: The Theory that would not Die - How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines and Emerged Triumphant from

The Theory That Would Not Die Drawing on primary source material and interviews with statisticians and other scientists, this book offers an account of Bayes' rule for general readers, It traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. Full description

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Mcgrayne, Sharon Bertsch
ISBN 10 : 0300188226 ISBN 13 : 9780300188226
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Sharon Bertsch Mcgrayne
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ISBN 10 : 0300188226 ISBN 13 : 9780300188226
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Description du livre Yale University Press, 2012. PAP. État : New. New Book.Shipped from US within 10 to 14 business days. Established seller since 2000. N° de réf. du libraire IB-9780300188226

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Sharon Bertsch McGrayne
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ISBN 10 : 0300188226 ISBN 13 : 9780300188226
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Description du livre Yale University Press, United States, 2012. Paperback. État : New. 231 x 155 mm. Language: English . Brand New Book. 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 (Alan Turing s role in 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. N° de réf. du libraire AAH9780300188226

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Sharon Bertsch McGrayne
Edité par Yale University Press, United States (2012)
ISBN 10 : 0300188226 ISBN 13 : 9780300188226
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Description du livre Yale University Press, United States, 2012. Paperback. État : New. 231 x 155 mm. Language: English . Brand New Book. 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 (Alan Turing s role in 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. N° de réf. du libraire AAH9780300188226

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Description du livre Yale University Press. Paperback. État : New. Paperback. 360 pages. Dimensions: 9.1in. x 6.1in. x 1.0in.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 scientific controversies of all time. 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 Germanys 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. The Theory That Would Not Die is a vivid account of the generations-long dispute over one of the greatest breakthroughs in the history of applied mathematics and statistics. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. N° de réf. du libraire 9780300188226

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Description du livre Paperback. État : New. 155mm x 28mm x 231mm. Paperback. 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 o.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 360 pages. 0.522. N° de réf. du libraire 9780300188226

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