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Kernel Estimation of Copula Densities and Applications
3 of 34 checkable references need attention · checked 2026-08-27
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
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References needing attention
does not resolve to a known work10.2307/2291521
does not resolve to a known work10.2307/2337532
does not resolve to a known work10.2307/2291091
The 31 checked references that resolve
resolves10.1016/j.jmva.2009.02.014
Asymptotic properties of the Bernstein density copula estimator for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" display="inline" overflow="scroll"><mml:mi>α</mml:mi></mml:math>-mixing data
resolves10.18637/jss.v052.i03
Modeling Dependence with C- and D-Vine Copulas: The
<i>R</i>
Package
<b>CDVine</b>
resolves10.1016/j.jeconom.2005.07.027
Estimation and model selection of semiparametric copula-based multivariate dynamic models under copula misspecification
resolves10.3406/barb.1979.58521
La fonction de dépendance empirique et ses propriétés. Un test non paramétrique d'indépendance
resolves10.1017/s0266466600008434
Testing the Goodness of Fit of a Parametric Density Function by Kernel Method
resolves10.3150/15-bej798
Probit transformation for nonparametric kernel estimation of the copula density
resolves10.1016/j.insmatheco.2007.10.005
Goodness-of-fit tests for copulas: A review and a power study
resolves10.1080/07474939908800428
Using simulation methods for bayesian econometric models: inference, development,and communication
resolves10.1016/j.jeconom.2009.04.004
A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation
resolves10.1016/j.csda.2005.06.019
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
The 3 references without a DOI — listed, not checked
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no DOI — not checkedref31
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