The Theory That Would Not Die
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Publisher:
Varies, see individual formats and editions
Pub. Date:
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Language:
English
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 generations-long human drama surrounding it. McGrayne traces the rule's discovery by an 18th century amateur mathematician through its development by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years-while practitioners relied on it to solve crises involving great uncertainty and scanty information, such as Alan Turing's work breaking Germany's Enigma code during World War II. McGrayne also explains how the advent of 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.
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ISBN:
9780300175097
9781452626857
9781452626857
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Grouping Information
Grouped Work ID | 8d387be9-9884-5930-3426-367090835bb9 |
---|---|
Grouping Title | theory that would not die |
Grouping Author | sharon bertsch mcgrayne |
Grouping Category | book |
Grouping Language | English (eng) |
Last Grouping Update | 2024-04-03 23:11:02PM |
Last Indexed | 2024-04-26 02:33:38AM |
Solr Fields
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auth_author2
Merlington, Laural
author
McGrayne, Sharon Bertsch
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hoopla digital
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McGrayne, Sharon Bertsch
display_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 generations-long human drama surrounding it. McGrayne traces the rule's discovery by an 18th century amateur mathematician through its development by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years-while practitioners relied on it to solve crises involving great uncertainty and scanty information, such as Alan Turing's work breaking Germany's Enigma code during World War II. McGrayne also explains how the advent of 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.
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eAudiobook
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eBook
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Audio Books
eBook
eBook
id
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isbn
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9781452626857
9781452626857
last_indexed
2024-04-26T08:33:38.612Z
lexile_score
-1
literary_form
Non Fiction
literary_form_full
Non Fiction
primary_isbn
9780300175097
publishDate
2011
2012
2012
publisher
Tantor Media, Inc
Yale University Press
Yale University Press
recordtype
grouped_work
subject_facet
Electronic books
History
Science
Statistics
History
Science
Statistics
title_display
The Theory That Would Not Die
title_full
The Theory That Would Not Die [electronic resource] / Sharon Bertsch McGrayne
title_short
The Theory That Would Not Die
topic_facet
Electronic books
History
Science
History
Science
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