LEADER 03008nam0 2200601 i 450 001 VAN0132626 005 20230529021246.513 017 70$2N$a9783030425531 100 $a20210322d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aCase Studies in Applied Bayesian Data Science$eCIRM Jean-Morlet Chair, Fall 2018$fKerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors 210 $aCham$cSpringer$d2020 215 $avi, 417 p.$cill.$d24 cm 461 1$1001VAN0102250$12001 $aLecture notes in mathematics$1210 $aBerlin [etc.]$cSpringer$v2259 500 1$3VAN0234203$aCase Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018$91768612 606 $a60Gxx$xStochastic processes [MSC 2020]$3VANC020000$2MF 606 $a60J10$xMarkov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]$3VANC020036$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$3VANC024649$2MF 606 $a62M40$xRandom fields; image analysis [MSC 2020]$3VANC025241$2MF 606 $a62R07$xStatistical aspects of big data and data science [MSC 2020]$3VANC026514$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 606 $a62G05$xNonparametric estimation [MSC 2020]$3VANC029306$2MF 610 $aApplied Data Science$9KW:K 610 $aApplied Statistics$9KW:K 610 $aBayesian Optimization$9KW:K 610 $aBayesian Statistics$9KW:K 610 $aBayesian computation$9KW:K 610 $aBayesian neural networks$9KW:K 610 $aBig Data$9KW:K 610 $aCase Studies in Data Science$9KW:K 610 $aCase studies in Ecology$9KW:K 610 $aCase studies in Health$9KW:K 610 $aComposite likelihood$9KW:K 610 $aMarkov random fields$9KW:K 610 $aMixture models$9KW:K 610 $aSpatial models$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aMengersen$bKerrie L.$3VANV106445 702 1$aPudlo$bPierre$3VANV106446 702 1$aRobert$bChristian P.$3VANV080242 712 02$aCIRM Jean-Morlet Chair$cMarseille, FR$3VANV090294 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-42553-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 912 $fN 912 $aVAN0132626 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book $e08LNM2259 20210322 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4584 $e08eMF4584 20220729 996 $aCase Studies in Applied Bayesian Data Science$91768612 997 $aUNICAMPANIA