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
Review:

"'An engrossing study... Her book is a compelling and entertaining fusion of history, theory and biography.' (Ian Critchley, Sunday Times) 'The Theory That Would Not Die is the first popular science book to document the rocky story of Bayes's rule. At times, her tale has everything you would expect of as modern-day thriller... To have crafted a page-turner out of the history of statistics is an impressive feat. If only lectures at university had been this racy.' (David Robson, New Scientist) 'Readers will be amazed at the impact that Bayes' rule has had in diverse fields, as well as by its rejection by too many statisticians... reading McGrayne's book has made me determined to try, once again, to master the intricacies of Bayesian statisics.' (The Lancet)"

From the Publisher:

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 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. "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.

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Descripción Yale University Press, United States, 2012. Paperback. Estado de conservación: New. 231 x 155 mm. Language: English . Brand New Book. 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 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. 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. Nº de ref. de la librería AAH9780300188226

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McGrayne, Sharon Bertsch
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Descripción Yale University Press, United States, 2012. Paperback. Estado de conservación: New. 231 x 155 mm. Language: English . Brand New Book. 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 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. 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. Nº de ref. de la librería AAH9780300188226

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Descripción Yale University Press. PAPERBACK. Estado de conservación: New. 0300188226 Brand New Book. Ships from the United States. 30 Day Satisfaction Guarantee!. Nº de ref. de la librería 16025348

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Descripción Yale University Press. Paperback. Estado de conservación: 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. Nº de ref. de la librería 9780300188226

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Descripción Paperback. Estado de conservación: 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. Nº de ref. de la librería 9780300188226

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