Testing the simplifying assumption in high-dimensional vine copulas
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Publication:90995
DOI10.1214/22-ejs2051OpenAlexW4304195711WikidataQ114599167 ScholiaQ114599167MaRDI QIDQ90995
Malte S. Kurz, Fabian Spanhel, Fabian Spanhel, Malte S. Kurz
Publication date: 1 January 2022
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1706.02338
conditional copulapair-copula constructionvine copulasimplifying assumptionpartial vine copulatest for constant conditional correlation
Related Items (7)
On Kendall's regression ⋮ About tests of the ``simplifying assumption for conditional copulas ⋮ Estimating non-simplified vine copulas using penalized splines ⋮ Testing for equality between conditional copulas given discretized conditioning events ⋮ pacotest ⋮ Approximate Bayesian conditional copulas ⋮ Conditional empirical copula processes and generalized measures of association
Uses Software
Cites Work
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- Pair-copula constructions of multiple dependence
- Selecting and estimating regular vine copulae and application to financial returns
- Breaking the curse of dimensionality in nonparametric testing
- Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas
- Estimation of copula-based semiparametric time series models
- Exact post-selection inference, with application to the Lasso
- The partial copula: properties and associated dependence measures
- Vine constructions of Lévy copulas
- Simplified pair copula constructions -- limitations and extensions
- Statistical testing of covariate effects in conditional copula models
- A review of copula models for economic time series
- Partial and average copulas and association measures
- On the simplified pair-copula construction -- simply useful or too simplistic?
- Applications and asymptotic power of marginal-free tests of stochastic vectorial independence
- Tests of independence among continuous random vectors based on Cramér-von Mises functionals of the empirical copula process
- Tail dependence functions and vine copulas
- About tests of the ``simplifying assumption for conditional copulas
- Estimating non-simplified vine copulas using penalized splines
- Generalized autoregressive conditional heteroscedasticity
- Vines -- a new graphical model for dependent random variables.
- Parameter estimation for pair-copula constructions
- Score tests for covariate effects in conditional copulas
- How simplifying and flexible is the simplifying assumption in pair-copula constructions -- analytic answers in dimension three and a glimpse beyond
- Estimating standard errors in regular vine copula models
- Probability density decomposition for conditionally dependent random variables modeled by vines
- Simplified vine copula models: approximations based on the simplifying assumption
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- A semiparametric estimation procedure of dependence parameters in multivariate families of distributions
- Nonparametric testing for no covariate effects in conditional copulas
- Semiparametric estimation in copula models
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