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010   $d0.00
017 70$2N$a978-3-030-42553-1
100   $a20210322d2020       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Case Studies in Applied Bayesian Data Science$eCIRM Jean-Morlet Chair, Fall 2018$fKerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
205   $aCham : Springer, 2020
210   $avi$d417 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
461  1$1001SUN0102250$12001 $a*Lecture notes in mathematics$v2259$1210  $aBerlin [etc.]$cSpringer$d1964-$1215  $aDal 2011 i volumi sono disponibili in formato elettronico.
606   $a60Gxx$xStochastic processes [MSC 2020]$2MF$3SUNC020000
606   $a60J10$xMarkov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]$2MF$3SUNC020036
606   $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528
606   $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$2MF$3SUNC024649
606   $a62M40$xRandom fields; image analysis [MSC 2020]$2MF$3SUNC025241
606   $a62R07$xStatistical aspects of big data and data science [MSC 2020]$2MF$3SUNC026514
606   $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$2MF$3SUNC028931
606   $a62G05$xNonparametric estimation [MSC 2020]$2MF$3SUNC029306
620   $aCH$dCham$3SUNL001889
702  1$aRobert$b, Christian P.$3SUNV080242
702  1$aMengersen$b, Kerrie L.$3SUNV106445
702  1$aPudlo$b, Pierre$3SUNV106446
712 02$aCIRM Jean-Morlet Chair$cMarseille, FR$3SUNV090294
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210329$gRICA
856 4 $uhttp://doi.org/10.1007/978-3-030-42553-1
912   $aSUN0132626
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                              $e08LNM2259              20210322            
996   $aCase Studies in Applied Bayesian Data Science$91768612
997   $aUNICAMPANIA