LEADER 03692nam 22007455 450 001 9910254089303321 005 20250505000536.0 010 $a3-662-48638-5 024 7 $a10.1007/978-3-662-48638-2 035 $a(CKB)3710000000501134 035 $a(EBL)4086777 035 $a(SSID)ssj0001584884 035 $a(PQKBManifestationID)16265400 035 $a(PQKBTitleCode)TC0001584884 035 $a(PQKBWorkID)14864816 035 $a(PQKB)10534731 035 $a(DE-He213)978-3-662-48638-2 035 $a(MiAaPQ)EBC4086777 035 $z(PPN)258860936 035 $a(PPN)19052278X 035 $a(EXLCZ)993710000000501134 100 $a20151106d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBayesians Versus Frequentists $eA Philosophical Debate on Statistical Reasoning /$fby Jordi Vallverdú 205 $a1st ed. 2016. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2016. 215 $a1 online resource (118 p.) 225 1 $aSpringerBriefs in Statistics,$x2191-5458 300 $aDescription based upon print version of record. 311 08$a3-662-48636-9 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aSome Questions to Begin with -- Ancient Statistics History in a Nutshell -- The Bayesian Approach and its Evolution until the Beginning of 20th Century -- A Conceptual Reply to Reverend Bayes: the Frequentist Approach -- The Co-evolution, Battles and Fights of Both Paradigms -- The Birth of Multicausality as the Death of Causality and Their Statistical Corollaries.- Natural vs. Artificial Minds and the Supercomputing Era -- And the Winner is... -- References. 330 $aThis book analyzes the origins of statistical thinking as well as its related philosophical questions, such as causality, determinism or chance. Bayesian and frequentist approaches are subjected to a historical, cognitive and epistemological analysis, making it possible to not only compare the two competing theories, but to also find a potential solution. The work pursues a naturalistic approach, proceeding from the existence of numerosity in natural environments to the existence of contemporary formulas and methodologies to heuristic pragmatism, a concept introduced in the book?s final section. This monograph will be of interest to philosophers and historians of science and students in related fields. Despite the mathematical nature of the topic, no statistical background is required, making the book a valuable read for anyone interested in the history of statistics and human cognition. 410 0$aSpringerBriefs in Statistics,$x2191-5458 606 $aScience$xPhilosophy 606 $aMathematics 606 $aHistory 606 $aScience$xHistory 606 $aStatistics 606 $aPhilosophy of Science 606 $aHistory of Mathematical Sciences 606 $aHistory of Science 606 $aStatistical Theory and Methods 615 0$aScience$xPhilosophy. 615 0$aMathematics. 615 0$aHistory. 615 0$aScience$xHistory. 615 0$aStatistics. 615 14$aPhilosophy of Science. 615 24$aHistory of Mathematical Sciences. 615 24$aHistory of Science. 615 24$aStatistical Theory and Methods. 676 $a100 700 $aVallverdu?$b Jordi$4aut$4http://id.loc.gov/vocabulary/relators/aut$00 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254089303321 996 $aBayesians versus frequentists$91523179 997 $aUNINA