02341nam0 2200553 i 450 VAN012672520230626125213.949N978303013785420200214d2019 |0itac50 baengCH|||| |||||Analyzing Dependent Data with Vine CopulasA Practical Guide With RClaudia CzadoChamSpringer2019xxix, 242 p.ill.24 cm001VAN00019572001 Lecture notes in statistics210 New York [etc.]Springer222VAN0236664Analyzing Dependent Data with Vine Copulas166815762-XXStatistics [MSC 2020]VANC022998MF62HxxMultivariate analysis [MSC 2020]VANC026440MF62P05Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]VANC030682MFBivariate copulaKW:KCase studyKW:KCopulasKW:KDependence measuresKW:KDependence modelingKW:KDependent dataKW:KModel selectionKW:KMultivariate statisticsKW:KPair copulaKW:KPair copula decompositionKW:KParameter estimation in copulasKW:KR package VineCopulaKW:KRegular vine copulaKW:KSimulating regular vine copulasKW:KStatistical inference for vine copulasKW:KTail DependenceKW:KVine copula based modelingKW:KVine copulasKW:KCHChamVANL001889CzadoClaudiaVANV098123780992Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-030-13785-4E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0126725BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 1507 08eMF1507 20200214 Analyzing Dependent Data with Vine Copulas1668157UNICAMPANIA