A regression point of view toward density estimation

DOI10.1080/10485259408832610zbMATH Open1380.62160OpenAlexW2099582142MaRDI QIDQ3432405

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Publication date: 16 April 2007

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485259408832610

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Cites Work

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• Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation
• Variable bandwidth and local linear regression smoothers
• Genus minimizing in symplectic 4-manifolds
• Local linear regression smoothers and their minimax efficiencies
• On optimal data-based bandwidth selection in kernel density estimation
• Double smoothing for kernelestimators in nonparametric regression
• Kernel density estimation for length biased data
• Incorporating support constraints into nonparametric estimators of densities
• Transformations in Density Estimation

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