On the covariance of the asymptotic empirical copula process
Conditions are given under which the empirical copula process associated with a random sample from a bivariate continuous distribution has a smaller asymptotic covariance function than the standard empirical process based on observations from the copula. Illustrations are provided and consequences for inference are outlined.
Year of publication: |
2010
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Authors: | Genest, Christian ; Segers, Johan |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 101.2010, 8, p. 1837-1845
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Publisher: |
Elsevier |
Keywords: | Asymptotic variance Copula Dependence parameter Empirical process Independence Left-tail decreasing Rank-based inference |
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