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  • Search: subject:"nonparametric multivariate density estimation"
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Year of publication
Subject
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asymptotic properties 3 bandwidth selection 3 nonparametric multivariate density estimation 3 Asymmetric kernels 2 least squares cross-validation 2 multivariate boundary bias 2 asymmetric kernels 1 least squares cross- validation 1 multivariate boudnary bias 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Language
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English 2 Undetermined 1
Author
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Bouezmarni, Taoufik 2 Rombouts, Jeroen V.K. 2 BOUEZMARNI, Taoufik 1 ROMBOUTS, Jeroen V.K. 1
Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 1 Centre Interuniversitaire sur le Risque, les Politiques Économiques et l'Emploi (CIRPÉE) 1 Institut d'Économie Appliquée, HEC Montréal (École des Hautes Études Commerciales) 1
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Cahiers de recherche 2 CORE Discussion Papers 1
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RePEc 3
Showing 1 - 3 of 3
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Nonparametric density estimation for multivariate bounded data.
Bouezmarni, Taoufik; Rombouts, Jeroen V.K. - Institut d'Économie Appliquée, HEC Montréal (École … - 2007
We propose a new nonparametric estimator for the density function of multivariate bounded data. As frequently observed in practice, the variables may be partially bounded (e.g., nonnegative) or completely bounded (e.g., in the unit interval). In addition, the variables may have a point mass. We...
Persistent link: https://www.econbiz.de/10005677341
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Cover Image
Nonparametric density estimation for multivariate bounded data
BOUEZMARNI, Taoufik; ROMBOUTS, Jeroen V.K. - Center for Operations Research and Econometrics (CORE), … - 2007
We propose a new nonparametric estimator for the density function of multivariate bounded data. As frequently observed in practice, the variables may be partially bounded (e.g., nonnegative) or completely bounded (e.g., in the unit interval). In addition, the variables may have a point mass. We...
Persistent link: https://www.econbiz.de/10005065413
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Nonparametric Density Estimation for Multivariate Bounded Data
Bouezmarni, Taoufik; Rombouts, Jeroen V.K. - Centre Interuniversitaire sur le Risque, les Politiques … - 2007
We propose a new nonparametric estimator for the density function of multivariate bounded data. As frequently observed in practice, the variables may be partially bounded (e.g., nonnegative) or completely bounded (e.g., in the unit interval). In addition, the variables may have a point mass. We...
Persistent link: https://www.econbiz.de/10005015239
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