LEADER 01683nam0 2200397 i 450 001 VAN0102818 005 20220208113643.980 017 70$2N$a978-1-4614-8687-9 100 $a20151008d2014 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aBayesian essentials with R$fJean-Michel Marin, Christian P. Robert 205 $a2. ed 210 $aNew York$cSpringer$d2014 215 $aXIV, 296 p.$cill.$d24 cm 410 1$1001VAN0036791$12001 $aSpringer texts in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0239676$aBayesian Core: A Practical Approach to Computational Bayesian Statistics$92983434 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 610 $aBayesian Modeling$9KW:K 610 $aBayesian R$9KW:K 610 $aBayesian data analysis$9KW:K 610 $aBayesian methodology$9KW:K 610 $aComputational statistics$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aMarin$bJean-Michel$3VANV080241$0721732 701 1$aRobert$bChristian P.$3VANV080242$055943 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-1-4614-8687-9$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN0102818 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 4451 $e15EB 4451 20191106 996 $aBayesian Core: A Practical Approach to Computational Bayesian Statistics$92983434 997 $aUNICAMPANIA