Copula-based bivariate finite mixture regression models with an application for insurance claim count data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1863-8260
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
Copula-based bivariate finite mixture regression models with an application for insurance claim count data ; day:4 ; month:5 ; year:2022 ; pages:1-18
TEST ; (4.5.2022), 1-18
- Creator
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Bermúdez, Lluís
Karlis, Dimitris
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s11749-022-00814-1
- URN
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urn:nbn:de:101:1-2022071220501815056202
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:25 AM CEST
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Associated
- Bermúdez, Lluís
- Karlis, Dimitris
- SpringerLink (Online service)
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Modeling the Differences in Counted Outcomes using Bivariate Copula Models: with Application to Mismeasured Counts
EM estimation for bivariate mixed poisson INAR(1) claim count regression models with correlated random effects
A test for Archimedeanity in bivariate copula models
Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks
Copula modelling with penalized complexity priors: the bivariate case
Micro-Level Reserving for Claim Count Data
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Modelling unobserved heterogeneity in claim counts using finite mixture models
Copula-based bivariate binary response models
Dependence properties of bivariate copula families
Trending Mixture Copula Models with Copula Selection
Modeling the Differences in Counted Outcomes using Bivariate Copula Models: with Application to Mismeasured Counts
EM estimation for bivariate mixed poisson INAR(1) claim count regression models with correlated random effects
A test for Archimedeanity in bivariate copula models
Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks
Copula modelling with penalized complexity priors: the bivariate case
Micro-Level Reserving for Claim Count Data