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Empirical and sequential empirical copula processes under serial dependence
9 references·14 citing·34 second hop
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this work references cited by second hop

References

  • 1999An Introduction to Copulas7,743 cited
  • 2006An Introduction to Copulas (Springer Series in Statistics)882 cited
  • 2004Weak convergence of empirical copula processes396 cited
  • 2005Semiparametric estimation in copula models316 cited
  • 2004Test of independence and randomness based on the empirical copula process272 cited
  • 2012Asymptotics of empirical copula processes under non-restrictive smoothness assumptions235 cited
  • 2008Testing for equality between two copulas190 cited
  • 2006Multivariate extensions of Spearman's rho and related statistics172 cited
  • 2011Tests of symmetry for bivariate copulas113 cited

Cited by

  • 2016The empirical beta copula76 cited
  • 2017Asymptotic behavior of the empirical multilinear copula process under broad conditions62 cited
  • 2014Detecting changes in cross-sectional dependence in multivariate time series61 cited
  • 2015A dependent multiplier bootstrap for the sequential empirical copula process under strong mixing56 cited
  • 2014Financial Engineering with Copulas Explained47 cited
  • 2012Consistent testing for a constant copula under strong mixing based on the tapered block multiplier technique

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43 cited
  • 2014Extreme value copula estimation based on block maxima of a multivariate stationary time series36 cited
  • 2015Nonparametric tests for constant tail dependence with an application to energy and finance33 cited
  • 2013Measuring association and dependence between random vectors32 cited
  • 2016Weak convergence of the empirical copula process with respect to weighted metrics27 cited
  • 2013A regularized goodness-of-fit test for copulas27 cited
  • 2013A fluctuation test for constant Spearman’s rho with nuisance-free limit distribution26 cited
  • 2018Combining Cumulative Sum Change‐Point Detection Tests for Assessing the Stationarity of Univariate Time Series24 cited
  • 2013Nonparametric inference on Lévy measures and copulas24 cited