LEADER 01702nam0 2200385 i 450 
001 SUN0113615
005 20180124112438.107
010   $d0.00
017 70$2N$a978-3-319-18968-0
100   $a20180115d2015       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Bayesian nonparametric data analysis$fPeter Müller ... [et al.]
205   $a[Cham] : Springer, 2015
210   $aXIV$d193 p. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0036509$12001 $a*Springer series in statistics$1210  $aNew York$cSpringer.
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
606   $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528
606   $a62G07$xDensity estimation [MSC 2020]$2MF$3SUNC024543
606   $a62Gxx$xNonparametric inference [MSC 2020]$2MF$3SUNC024592
606   $a62C10$xBayesian problems; characterization of Bayes procedures [MSC 2020]$2MF$3SUNC028328
606   $a60G57$xRandom measures [MSC 2020]$2MF$3SUNC028999
606   $a62G05$xNonparametric estimation [MSC 2020]$2MF$3SUNC029306
606   $a62N02$xEstimation in survival analysis and censored data [MSC 2020]$2MF$3SUNC033692
620   $aCH$dCham$3SUNL001889
702  1$aMüller$b, Peter$3SUNV087697
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-319-18968-0
912   $aSUN0113615
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0117        $e08eMF117               20180115            
996   $aBayesian nonparametric data analysis$91522677
997   $aUNICAMPANIA