LEADER 02125nam0 2200469 i 450 001 VAN00115274 005 20240806100753.673 017 70$2N$a978-3-319-32789-1 100 $a20180301d2016 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aPrior processes and their applications$enonparametric bayesian estimation$fEswar G. Phadia 205 $a2. ed 210 $a[Cham]$cSpringer$d2016 215 $aXVII, 327 p.$cill.$d24 cm 410 1$1001VAN00036509$12001 $aSpringer series in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN00243035$aPrior processes and their applications$91523579 606 $a60G05$xFoundations of stochastic processes [MSC 2020]$3VANC021475$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a62G05$xNonparametric estimation [MSC 2020]$3VANC029306$2MF 606 $a62G07$xDensity estimation [MSC 2020]$3VANC024543$2MF 606 $a62G08$xNonparametric regression and quantile regression [MSC 2020]$3VANC029587$2MF 606 $a62G10$xNonparametric hypothesis testing [MSC 2020]$3VANC031470$2MF 606 $a62N01$xCensored data models [MSC 2020]$3VANC030962$2MF 610 $aBayesian nonparametrics$9KW:K 610 $aDirichlet process$9KW:K 610 $aHigh-Dimensional Data$9KW:K 610 $aMachine learning$9KW:K 610 $aSurvival function$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aPhadia$bEswar G.$3VANV089196$0756045 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240906$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-32789-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibbolet 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN00115274 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2451 $e15EB 2451 20180301 996 $aPrior processes and their applications$91523579 997 $aUNICAMPANIA