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Cited by 305

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

A Primer on Copulas for Count Data

Open access
Christian Genest, Johanna Nešlehová·2007·Astin Bulletin

Abstract

The authors review various facts about copulas linking discrete distributions. They show how the possibility of ties that results from atoms in the probability distribution invalidates various familiar relations that lie at the root of copula theory in the continuous case. They highlight some of the dangers and limitations of an undiscriminating transposition of modeling and inference practices from the continuous setting into the discrete one.

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Metadata

Authors
Genest, C., & Nešlehová, J.
Venue
Astin Bulletin
Publisher
Cambridge University Press
Published
2007-11-01
Volume
37
Issue
2
Pages
475-515
ISSN
0515-0361 (ISSN-L)
OpenAlex
W2122066903
Cited by
305
References
27
FWCI
23.62
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A Primer on Copulas for Count Data. https://app.cochat.ai/papers/10.1017/s0515036100014963
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Genest, C., & Nešlehová, J. (2007). A Primer on Copulas for Count Data. Astin Bulletin. https://doi.org/10.1017/s0515036100014963

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.