Semiparametric multivariate density estimation for positive data using copulas
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Abstract
Suggested Citation
DOI: 10.1016/j.csda.2008.06.005
Note: In : Computational Statistics and Data Analysis, 53(6), 2040-2054, 2009
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Cited by:
- Bessa, Ricardo J. & Miranda, V. & Botterud, A. & Zhou, Z. & Wang, J., 2012. "Time-adaptive quantile-copula for wind power probabilistic forecasting," Renewable Energy, Elsevier, vol. 40(1), pages 29-39.
- Bouezmarni, Taoufik & Rombouts, Jeroen V.K. & Taamouti, Abderrahim, 2010.
"Asymptotic properties of the Bernstein density copula estimator for [alpha]-mixing data,"
Journal of Multivariate Analysis, Elsevier, vol. 101(1), pages 1-10, January.
- BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen VK & TAAMOUTI, Abderrahim, 2010. "Asymptotic properties of the Bernstein density copula estimator for alpha-mixing data," LIDAM Reprints CORE 2302, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Ouimet, Frédéric & Tolosana-Delgado, Raimon, 2022. "Asymptotic properties of Dirichlet kernel density estimators," Journal of Multivariate Analysis, Elsevier, vol. 187(C).
- Diers, Dorothea & Eling, Martin & Marek, Sebastian D., 2012. "Dependence modeling in non-life insurance using the Bernstein copula," Insurance: Mathematics and Economics, Elsevier, vol. 50(3), pages 430-436.
- Zhao, XiaoBing & Zhou, Xian, 2010. "Applying copula models to individual claim loss reserving methods," Insurance: Mathematics and Economics, Elsevier, vol. 46(2), pages 290-299, April.
- Weiran Lin & Qiuqin He, 2021. "The Influence of Potential Infection on the Relationship between Temperature and Confirmed Cases of COVID-19 in China," Sustainability, MDPI, vol. 13(15), pages 1-11, July.
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