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Estimating Copulas for Insurance from Scarce Observations, Expert Opinion and Prior Information: A Bayesian Approach

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Publication:2866012
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DOI10.2143/AST.42.1.2160743zbMath1277.91139OpenAlexW2506779013MaRDI QIDQ2866012

Philipp Arbenz, Davide Canestraro

Publication date: 12 December 2013

Full work available at URL: https://EconPapers.repec.org/RePEc:cup:astinb:v:42:y:2012:i:01:p:271-290_00


zbMATH Keywords

correlationcopulasinsuranceBayesian inferencerisk managementdependence measureexpert judgment


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (4)

SPATIAL DEPENDENCE AND AGGREGATION IN WEATHER RISK HEDGING: A LÉVY SUBORDINATED HIERARCHICAL ARCHIMEDEAN COPULAS (LSHAC) APPROACH ⋮ Copula based hierarchical risk aggregation through sample reordering ⋮ Expert judgement for dependence in probabilistic modelling: a systematic literature review and future research directions ⋮ ON THE AGGREGATION OF EXPERTS' INFORMATION IN BONUS–MALUS SYSTEMS




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