LEADER 02298nam0 2200457 i 450 001 VAN0113607 005 20230706095819.68 017 70$2N$a9783319187327 100 $a20180115d2015 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aModeling and stochastic learning for forecasting in high dimensions$fAnestis Antoniadis, Jean-Michel Poggi, Xavier Brossat editors 210 $a[Cham]$cSpringer$d2015 215 $aX, 339 p.$cill.$d24 cm 410 1$1001VAN0001957$12001 $aLecture notes in statistics$1210 $aNew York [etc.]$cSpringer$v217 410 1$1001VAN0114274$12001 $aLecture notes in statistics. Proceedings$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0235142$aModeling and stochastic learning for forecasting in high dimensions$91522672 606 $a00B25$xProceedings of conferences of miscellaneous specific interest [MSC 2020]$3VANC020732$2MF 606 $a00A69$xGeneral applied mathematics [MSC 2020]$3VANC022597$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$3VANC025079$2MF 606 $a62P30$xApplications of statistics in engineering and industry; control charts [MSC 2020]$3VANC030774$2MF 610 $aCopulas$9KW:K 610 $aForecasting$9KW:K 610 $aHigh-dimensional statistics$9KW:K 610 $aMultiscale processes$9KW:K 610 $aTime series$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aAntoniadis$bAnestis$3VANV087689 702 1$aBrossat$bXavier$3VANV087691 702 1$aPoggi$bJean-Michel$3VANV087690 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-18732-7$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0113607 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0326 $e08eMF326 20180115 996 $aModeling and stochastic learning for forecasting in high dimensions$91522672 997 $aUNICAMPANIA