Skip to main navigation Skip to search Skip to main content

Weak convergence of empirical copula processes

  • CDC IXIS Capital Markets
  • Department of Mathematics
  • Florida Atlantic University
  • Department of Statistics
  • Florida State University

Research output: Contribution to journalArticlepeer-review

267 Citations (Scopus)

Abstract

Weak convergence of the empirical copula process has been established by Deheuvels in the case of independent marginal distributions. Van der Vaart and Wellner utilize the functional delta method to show convergence in l∞([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 l([0, 1]2) under minimal conditions on the copula function, which coincides with the result obtained by Gaenssler and Stute. It is argued that the condition on the copula function is necessary. The proof uses the functional delta method and, as a consequence, the convergence of the bootstrap counterpart of the empirical copula process follows immediately. In addition, weak convergence of the smoothed empirical copula process is established.

Original languageEnglish
Pages (from-to)847-860
Number of pages14
JournalBernoulli
Volume10
Issue number5
DOIs
Publication statusPublished - 1 Oct 2004
Externally publishedYes

Keywords

  • Empirical copula process
  • Smoothed empirical copula processes
  • Weak convergence

Fingerprint

Dive into the research topics of 'Weak convergence of empirical copula processes'. Together they form a unique fingerprint.

Cite this