Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation

The empirical multilinear or checkerboard copula process is a promising tool for statistical inference in copula models for data with ties (Genest et al., 2019a). The large-sample behavior of this process was determined in Genest et al. (2014, 2017) under very broad conditions. The purpose of this n...

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Main Authors: Christian Genest, Johanna G. Nešlehová
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Examples and Counterexamples
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666657X25000035
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author Christian Genest
Johanna G. Nešlehová
author_facet Christian Genest
Johanna G. Nešlehová
author_sort Christian Genest
collection DOAJ
description The empirical multilinear or checkerboard copula process is a promising tool for statistical inference in copula models for data with ties (Genest et al., 2019a). The large-sample behavior of this process was determined in Genest et al. (2014, 2017) under very broad conditions. The purpose of this note is to provide a detailed description of this asymptotic result and to derive an expression for the limit of the process in the simplest possible case in which the data form a random sample of pairs of Bernoulli random variables. Although one would never actually fit a copula model to a 2 × 2 contingency table, this case is particularly well suited for explicit calculations and didactic explanations of the intricacies of the limiting behavior of this process and make it clear why the conditions in Genest et al. (2014, 2017) are needed and cannot be simplified.
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series Examples and Counterexamples
spelling doaj-art-bbbd75ff486448019274f89e1f21fdf32025-02-07T04:48:24ZengElsevierExamples and Counterexamples2666-657X2025-06-017100176Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentationChristian Genest0Johanna G. Nešlehová1Corresponding author.; Department of Mathematics and Statistics, McGill University, 805, rue Sherbrooke ouest, Montréal, QC, Canada H3A 0B9,Department of Mathematics and Statistics, McGill University, 805, rue Sherbrooke ouest, Montréal, QC, Canada H3A 0B9,The empirical multilinear or checkerboard copula process is a promising tool for statistical inference in copula models for data with ties (Genest et al., 2019a). The large-sample behavior of this process was determined in Genest et al. (2014, 2017) under very broad conditions. The purpose of this note is to provide a detailed description of this asymptotic result and to derive an expression for the limit of the process in the simplest possible case in which the data form a random sample of pairs of Bernoulli random variables. Although one would never actually fit a copula model to a 2 × 2 contingency table, this case is particularly well suited for explicit calculations and didactic explanations of the intricacies of the limiting behavior of this process and make it clear why the conditions in Genest et al. (2014, 2017) are needed and cannot be simplified.http://www.sciencedirect.com/science/article/pii/S2666657X25000035Asymptotic distributionCheckerboard copulaMultilinear extensionRank-based inferenceTies
spellingShingle Christian Genest
Johanna G. Nešlehová
Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation
Examples and Counterexamples
Asymptotic distribution
Checkerboard copula
Multilinear extension
Rank-based inference
Ties
title Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation
title_full Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation
title_fullStr Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation
title_full_unstemmed Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation
title_short Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation
title_sort asymptotic behavior of the empirical checkerboard copula process for binary data an educational presentation
topic Asymptotic distribution
Checkerboard copula
Multilinear extension
Rank-based inference
Ties
url http://www.sciencedirect.com/science/article/pii/S2666657X25000035
work_keys_str_mv AT christiangenest asymptoticbehavioroftheempiricalcheckerboardcopulaprocessforbinarydataaneducationalpresentation
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