Weak convergence of empirical copula processes
Open Access
- 1 October 2004
- journal article
- Published by Bernoulli Society for Mathematical Statistics and Probability in Bernoulli
- Vol. 10 (5), 847-860
- https://doi.org/10.3150/bj/1099579158
Abstract
Weak convergence of the empirical copula process has been established in the case of independent marginal distributions (Deheuvels, 1979, 1981). Van der Vaart and Wellner (1996) utilize the functional delta method to show convergence in ' 1 ((a,b) 2 ) for some 0 < a < b < 1, under restrictions on the distribution functions. We extend their results by proving the weak convergence of this process in ' 1 ((0,1) 2 ) under minimal conditions on the copula function, which coincides with the result earlier obtained by Gaenssler and Stute (1987). It is argued that the condition on C is necessary and the bootstrap counterpart follows immediately. In addition, weak convergence of the smoothed empirical copula process is established, which has not been studied so far.Keywords
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