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The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

The t Copula and Related Copulas

Demarta, Stefano, McNeil, Alexander J.·2007·International Statistical Review

Abstract

The t copula and its properties are described with a focus on issues related to the dependence of extreme values. The Gaussian mixture representation of a multivariate t distribution is used as a starting point to construct two new copulas, the skewed t copula and the grouped t copula, which allow more heterogeneity in the modelling of dependent observations. Extreme value considerations are used to derive two further new copulas: the t extreme value copula is the limiting copula of componentwise maxima of t distributed random vectors; the t lower tail copula is the limiting copula of bivariate observations from a t distribution that are conditioned to lie below some joint threshold that is progressively lowered. Both these copulas may be approximated for practical purposes by simpler, better-known copulas, these being the Gumbel and Clayton copulas respectively.

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Metadata

Authors
Demarta, S., & McNeil, A. J.
Venue
International Statistical Review
Publisher
Wiley
Published
2007-01-15
Volume
73
Issue
1
Pages
111-129
ISSN
0306-7734 (ISSN-L)
OpenAlex
W2127958806
Cited by
958
References
27
FWCI
77.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The t Copula and Related Copulas. https://app.cochat.ai/papers/10.1111/j.1751-5823.2005.tb00254.x
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Demarta, S., & McNeil, A. J. (2007). The t Copula and Related Copulas. International Statistical Review. https://doi.org/10.1111/j.1751-5823.2005.tb00254.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.