TY  - GEN
T1  - The theory that would not die : how Bayes' rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy
A1  - McGrayne, Sharon Bertsch
LA  - English
PP  - New Haven Conn.
PB  - Yale University Press
YR  - 2011
UL  - https://ebooks.jgu.edu.in/Record/ebsco_acadsubs_ocn724024998
AB  - "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 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"--
OP  - 320
CN  - QA279.5 .M415 2011eb
SN  - 9780300175097
SN  - 0300175094
SN  - 1283101920
SN  - 9781283101929
SN  - 9786613101921
SN  - 6613101923
SN  - 9780300169690
SN  - 0300169698
KW  - Bayes, Thomas, : (1702-1761) : Critique et interprétation.
KW  - Bayesian statistical decision theory : History.
KW  - Théorie de la décision bayésienne : Histoire.
KW  - SCIENCE : History.
KW  - MATHEMATICS : History & Philosophy.
KW  - MATHEMATICS : Probability & Statistics : Bayesian Analysis.
KW  - Mathematics.
KW  - Bayesian statistical decision theory
KW  - Bayes-Regel
KW  - Methode van Bayes.
KW  - Statistique bayésienne : Histoire.
KW  - Statistiques : Histoire.
KW  - Beslutsteori : matematisk statistik.
KW  - History.
KW  - History
ER  -