LEADER 02508nam0 22005293i 450 001 VAN0249940 005 20230531122559.714 017 70$2N$a9783030562199 100 $a20220909d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aTheory and Applications of Time Series Analysis$eSelected Contributions from ITISE 2019$fOlga Valenzuela ?$bet al.] editors 210 $aCham$cSpringer$d2020 215 $axiv, 460 p.$cill.$d24 cm 410 1$1001VAN0103344$12001 $aContributions to Statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0249941$aTheory and Applications of Time Series Analysis : ITISE 2019$92909502 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 $aComplex and big data time series$9KW:K 610 $aEconometric models and forecasting$9KW:K 610 $aEnergy forecasting$9KW:K 610 $aFinancial forecasting$9KW:K 610 $aForecasting theory and adjustment$9KW:K 610 $aHierarchical forecasting$9KW:K 610 $aMathematical Finance$9KW:K 610 $aPattern recognition$9KW:K 610 $aPrediction of time series$9KW:K 610 $aRisk analysis$9KW:K 610 $aStatistical methods for time series$9KW:K 610 $aTime Series Analysis$9KW:K 610 $aTime series with computational intelligence$9KW:K 610 $aTimes series in energy$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aValenzuela$bOlga$3VANV094759 712 12$aInternational Conference on Time Series and Forecasting$f2019$eGranada, Spain$3VANV204316 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-56219-9$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 $aVAN0249940 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4892 $e08eMF4892 20220909 996 $aTheory and Applications of Time Series Analysis : ITISE 2019$92909502 997 $aUNICAMPANIA