The Theory that would not Die - How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines and Emerged Triu
How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, & Emerged Triumphant from Two Centuries of Controversy
(Sprache: Englisch)
"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,...
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"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 the1740s 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"--
Klappentext zu „The Theory that would not Die - How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines and Emerged Triu “
The first-ever account of Bayes' rule for general readers. It 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. This is a vivid account of the generations-long dispute over one of the greatest breakthroughs in the history of applied mathematics and statistics.Autoren-Porträt von Sharon Bertsch McGrayne
Sharon Bertsch McGrayne interessiert sich für die Schnittstelle von wissenschaftlichem Fortschritt und gesellschaftlichen Rahmenbedingungen und ist Autorin mehrerer Bücher über wissenschaftliche Entdeckungen und die Menschen, die dahinter stehen darunter Nobel Prize Women in Science: Their Lives, Struggles, and Momentous Discoveries und Prometheans in the Lab: Chemistry and the Making of the Modern World. Die Absolventin des Swarthmore College hat als Wissenschaftsjournalistin für Zeitschriften wie Science, Scientific American, Discover und The Times Higher Education Supplement geschrieben und ist mit mehreren Beiträgen in der Encyclopaedia Britannica vertreten. Sie lebt in Seattle im US-Bundesstaat Washington.
Bibliographische Angaben
- Autor: Sharon Bertsch McGrayne
- 2012, 336 Seiten, Masse: 15,6 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Yale University Press
- ISBN-10: 0300188226
- ISBN-13: 9780300188226
- Erscheinungsdatum: 30.10.2012
Sprache:
Englisch
Rezension zu „The Theory that would not Die - How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines and Emerged Triu “
"'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)"
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