LEADER 02504nam0 2200529 i 450 001 VAN0127220 005 20230628085239.375 017 70$2N$a9783030260361 100 $a20200302d2019 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aTheory and Applications of Time Series Analysis$eSelected Contributions from ITISE 2018$fOlga Valenzuela ?$bet al.] editors 210 $aCham$cSpringer$d2019 215 $axv, 380 p.$cill.$d24 cm 410 1$1001VAN0103344$12001 $aContributions to Statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0237034$aTheory and Applications of Time Series Analysis. ITISE 2018$92909474 606 $a00B25$xProceedings of conferences of miscellaneous specific interest [MSC 2020]$3VANC020732$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$3VANC025079$2MF 610 $aArtificial Intelligence$9KW:K 610 $aBig and complex data$9KW:K 610 $aComputational intelligence methods for time series$9KW:K 610 $aEconometrics forecasting$9KW:K 610 $aEnergy time series forecasting$9KW:K 610 $aFinancial forecasting$9KW:K 610 $aForecasting theory and adjustment$9KW:K 610 $aHierarchical forecasting$9KW:K 610 $aHigh-Dimensional Data$9KW:K 610 $aOn-line learning in time series$9KW:K 610 $aPattern recognition$9KW:K 610 $aRisk analysis$9KW:K 610 $aStatistics for business$9KW:K 610 $aTime Series Analysis$9KW:K 610 $aTime series in earth sciences$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aValenzuela$bOlga$3VANV094759 712 12$aInternational Conference on Time Series and Forecasting$f2018$eGranada, Spain$3VANV098658 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-26036-1$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 $aVAN0127220 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1781 $e08eMF1781 20200302 996 $aTheory and Applications of Time Series Analysis. ITISE 2018$92909474 997 $aUNICAMPANIA