Estimation problems for some perturbations of the independence copula

Martial Longla () and Mous-Abou Hamadou ()
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Martial Longla: University of Mississippi, Department of mathematics
Mous-Abou Hamadou: University of Mississippi, Department of mathematics

Statistical Papers, 2025, vol. 66, issue 7, No 12, 43 pages

Abstract: Abstract This work provides a study of copula parameters estimators based on functions of Markov chains they generate. Copulas of interest are perturbations of the independence copula. We provide asymptotic distributions of maximum likelihood estimators and confidence intervals for parameters of several copula families introduced in Longla (Stat Pap 65:4331–4363, 2024). A set of moment-like estimators is proposed along with a multivariate asymptotic distribution. We investigate the particular case of Markov chains generated by sine copulas, sine-cosine copulas and the extended Farlie-Gumbel-Morgenstern (FGM) copula family. We provide evidence that our extension of the FGM copula does a better job at capturing the dependence in the Bearing Data Set. Some tests of independence of the sample are proposed. A simulation study is provided for the three examples of copula families that we propose from Type I Longla copulas. This simulation study proposes a comparative study of the introduced estimators, the maximum likelihood estimators and the robust estimators of Longla and Peligrad (J Stat Plan Inference 211:90–106, 2024). It showcases advantages of the proposed estimators.

Keywords: Estimation of copula parameters; Robust estimation; Square integrable copulas; Reversible Markov chains; Confidence interval for copula parameters; Copula constructions; Primary 62G08; 62M02; 60J35 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00362-025-01778-8

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