Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386413635> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4386413635 endingPage "107841" @default.
- W4386413635 startingPage "107841" @default.
- W4386413635 abstract "In situations where both extreme and non-extreme data are of interest, modelling the whole data set accurately is important. In a univariate framework, modelling the bulk and tail of a distribution has been extensively studied before. However, when more than one variable is of concern, models that aim specifically at capturing both regions correctly are scarce in the literature. A dependence model that blends two copulas with different characteristics over the whole range of the data support is proposed. One copula is tailored to the bulk and the other to the tail, with a dynamic weighting function employed to transition smoothly between them. Tail dependence properties are investigated numerically and simulation is used to confirm that the blended model is sufficiently flexible to capture a wide variety of structures. The model is applied to study the dependence between temperature and ozone concentration at two sites in the UK and compared with a single copula fit. The proposed model provides a better, more flexible, fit to the data, and is also capable of capturing complex dependence structures." @default.
- W4386413635 created "2023-09-05" @default.
- W4386413635 creator A5040547055 @default.
- W4386413635 creator A5068314877 @default.
- W4386413635 creator A5074023396 @default.
- W4386413635 date "2024-01-01" @default.
- W4386413635 modified "2023-10-06" @default.
- W4386413635 title "Joint modelling of the body and tail of bivariate data" @default.
- W4386413635 cites W1529285559 @default.
- W4386413635 cites W1559737992 @default.
- W4386413635 cites W1580846952 @default.
- W4386413635 cites W1964449911 @default.
- W4386413635 cites W1973418059 @default.
- W4386413635 cites W1985514943 @default.
- W4386413635 cites W2004322305 @default.
- W4386413635 cites W2022602914 @default.
- W4386413635 cites W2024311735 @default.
- W4386413635 cites W2043549322 @default.
- W4386413635 cites W2050904831 @default.
- W4386413635 cites W2058959119 @default.
- W4386413635 cites W2086289052 @default.
- W4386413635 cites W2112160211 @default.
- W4386413635 cites W2172282971 @default.
- W4386413635 cites W2470916415 @default.
- W4386413635 cites W2506196825 @default.
- W4386413635 cites W2598043207 @default.
- W4386413635 cites W2786310109 @default.
- W4386413635 cites W2808169991 @default.
- W4386413635 cites W2954390306 @default.
- W4386413635 cites W3034049434 @default.
- W4386413635 cites W3100989348 @default.
- W4386413635 cites W3124685085 @default.
- W4386413635 cites W3208736248 @default.
- W4386413635 cites W4210584916 @default.
- W4386413635 cites W4220804496 @default.
- W4386413635 cites W4238626452 @default.
- W4386413635 cites W46851279 @default.
- W4386413635 doi "https://doi.org/10.1016/j.csda.2023.107841" @default.
- W4386413635 hasPublicationYear "2024" @default.
- W4386413635 type Work @default.
- W4386413635 citedByCount "0" @default.
- W4386413635 crossrefType "journal-article" @default.
- W4386413635 hasAuthorship W4386413635A5040547055 @default.
- W4386413635 hasAuthorship W4386413635A5068314877 @default.
- W4386413635 hasAuthorship W4386413635A5074023396 @default.
- W4386413635 hasBestOaLocation W43864136351 @default.
- W4386413635 hasConcept C105795698 @default.
- W4386413635 hasConcept C121332964 @default.
- W4386413635 hasConcept C121864883 @default.
- W4386413635 hasConcept C148264743 @default.
- W4386413635 hasConcept C149782125 @default.
- W4386413635 hasConcept C161584116 @default.
- W4386413635 hasConcept C17618745 @default.
- W4386413635 hasConcept C183115368 @default.
- W4386413635 hasConcept C18653775 @default.
- W4386413635 hasConcept C199163554 @default.
- W4386413635 hasConcept C24890656 @default.
- W4386413635 hasConcept C2777606061 @default.
- W4386413635 hasConcept C33923547 @default.
- W4386413635 hasConcept C41008148 @default.
- W4386413635 hasConcept C64341305 @default.
- W4386413635 hasConceptScore W4386413635C105795698 @default.
- W4386413635 hasConceptScore W4386413635C121332964 @default.
- W4386413635 hasConceptScore W4386413635C121864883 @default.
- W4386413635 hasConceptScore W4386413635C148264743 @default.
- W4386413635 hasConceptScore W4386413635C149782125 @default.
- W4386413635 hasConceptScore W4386413635C161584116 @default.
- W4386413635 hasConceptScore W4386413635C17618745 @default.
- W4386413635 hasConceptScore W4386413635C183115368 @default.
- W4386413635 hasConceptScore W4386413635C18653775 @default.
- W4386413635 hasConceptScore W4386413635C199163554 @default.
- W4386413635 hasConceptScore W4386413635C24890656 @default.
- W4386413635 hasConceptScore W4386413635C2777606061 @default.
- W4386413635 hasConceptScore W4386413635C33923547 @default.
- W4386413635 hasConceptScore W4386413635C41008148 @default.
- W4386413635 hasConceptScore W4386413635C64341305 @default.
- W4386413635 hasFunder F4320334627 @default.
- W4386413635 hasLocation W43864136351 @default.
- W4386413635 hasOpenAccess W4386413635 @default.
- W4386413635 hasPrimaryLocation W43864136351 @default.
- W4386413635 hasRelatedWork W1503428200 @default.
- W4386413635 hasRelatedWork W2024311735 @default.
- W4386413635 hasRelatedWork W2025420088 @default.
- W4386413635 hasRelatedWork W2052828241 @default.
- W4386413635 hasRelatedWork W2117322591 @default.
- W4386413635 hasRelatedWork W2756923888 @default.
- W4386413635 hasRelatedWork W2990837948 @default.
- W4386413635 hasRelatedWork W3126452883 @default.
- W4386413635 hasRelatedWork W4287329799 @default.
- W4386413635 hasRelatedWork W4287838929 @default.
- W4386413635 hasVolume "189" @default.
- W4386413635 isParatext "false" @default.
- W4386413635 isRetracted "false" @default.
- W4386413635 workType "article" @default.