Faugeras, Olivier (2017) Inference for copula modeling of discrete data: a cautionary tale and some facts. Dependence Modeling, 5 (1). pp. 121-132.
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Official URL : http://tse-fr.eu/pub/31811
Identification Number : 10.1515/demo-2017-0008
Abstract
In this note, we elucidate some of the mathematical, statistical and epistemological issues involved in using copulas to model discrete data. We contrast the possible use of (nonparametric) copula methods versus the problematic use of parametric copula models. For the latter, we stress, among other issues, the possibility of obtaining impossible models, arising from model misspecification or unidentifiability of the copula parameter.
Item Type: | Article |
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Language: | English |
Date: | January 2017 |
Refereed: | Yes |
Uncontrolled Keywords: | copula, discrete data, parametric model, statistical inference, unidentifiability |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Site: | UT1 |
Date Deposited: | 13 Apr 2018 07:38 |
Last Modified: | 27 Oct 2021 13:37 |
OAI Identifier: | oai:tse-fr.eu:31811 |
URI: | https://publications.ut-capitole.fr/id/eprint/25635 |