LEADER 03762nam 2200733 450 001 9910812514003321 005 20221225193120.0 010 $a1-283-10192-0 010 $a9786613101921 010 $a0-300-17509-4 024 7 $a10.12987/9780300175097 035 $a(CKB)3280000000000113 035 $a(StDuBDS)AH23050187 035 $a(SSID)ssj0000526105 035 $a(PQKBManifestationID)11345952 035 $a(PQKBTitleCode)TC0000526105 035 $a(PQKBWorkID)10508142 035 $a(PQKB)10438811 035 $a(MiAaPQ)EBC3420687 035 $a(DE-B1597)486068 035 $a(OCoLC)1029810299 035 $a(OCoLC)1032676788 035 $a(OCoLC)1037944147 035 $a(OCoLC)1041973790 035 $a(OCoLC)1046621022 035 $a(OCoLC)1047008897 035 $a(OCoLC)1049630057 035 $a(OCoLC)1054862649 035 $a(OCoLC)994403140 035 $a(DE-B1597)9780300175097 035 $a(Au-PeEL)EBL3420687 035 $a(CaPaEBR)ebr10468995 035 $a(CaONFJC)MIL310192 035 $a(OCoLC)923596016 035 $a(MiAaPQ)EBC7025243 035 $a(Au-PeEL)EBL7025243 035 $a(EXLCZ)993280000000000113 100 $a20221225d2011 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe theory that would not die $ehow Bayes' rule cracked the enigma code, hunted down Russian submarines, and emerged triumphant from two centuries of C /$fSharon Bertsch McGrayne 210 1$aNew Haven, Connecticut :$cYale University Press,$d[2011] 210 4$dİ2011 215 $a1 online resource (288 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-300-16969-8 320 $aIncludes bibliographical references and index. 327 $apt. 1. Enlightenment and the Anti-Bayesian reaction -- pt. 2. Second World War era -- pt. 3. The glorious revival -- pt. 4. To prove its worth -- pt. 5. Victory 211. 330 $a"Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years--at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information, even breaking Germany's Enigma code during World War II, and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security. Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time"--$cProvided by publisher. 606 $aBayesian statistical decision theory$xHistory 615 0$aBayesian statistical decision theory$xHistory. 676 $a519.5/42 686 $aSCI034000$aMAT015000$2bisacsh 700 $aMcGrayne$b Sharon Bertsch$01660904 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910812514003321 996 $aThe theory that would not die$94016464 997 $aUNINA