Multivariate boundary kernels and a continuous least squares principle
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References listed on IDEAS
- Lixing Zhu & Liugen Xue, 2006. "Empirical likelihood confidence regions in a partially linear single-index model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(3), pages 549-570.
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Cheng, Ming-Yen & Hall, Peter, 2003. "Reducing variance in nonparametric surface estimation," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 375-397, August.
- Jeffrey Racine, 2015. "Mixed data kernel copulas," Empirical Economics, Springer, vol. 48(1), pages 37-59, February.
- Marshall, Jonathan C. & Hazelton, Martin L., 2010. "Boundary kernels for adaptive density estimators on regions with irregular boundaries," Journal of Multivariate Analysis, Elsevier, vol. 101(4), pages 949-963, April.
- Cai, T. Tony & Levine, Michael & Wang, Lie, 2009. "Variance function estimation in multivariate nonparametric regression with fixed design," Journal of Multivariate Analysis, Elsevier, vol. 100(1), pages 126-136, January.
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"Semiparametric multivariate density estimation for positive data using copulas,"
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- Taoufik Bouezmarni & Jeroen V.K. Rombouts, 2007. "Semiparametric Multivariate Density Estimation for Positive Data Using Copulas," Cahiers de recherche 07-08, HEC Montréal, Institut d'économie appliquée.
- BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen V.K., 2007. "Semiparametric multivariate density estimation for positive data using copulas," CORE Discussion Papers 2007054, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Taoufik Bouezmarni & Jeroen V.K. Rombouts, 2007. "Semiparametric Multivariate Density Estimation for Positive Data Using Copulas," Cahiers de recherche 0731, CIRPEE.
- Chen, Song Xi & Gao, Jiti & Tang, Chenghong, 2005. "A test for model specification of diffusion processes," MPRA Paper 11976, University Library of Munich, Germany, revised Feb 2007.
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