Contribution to the bandwidth choice for kernel density estimates

DOI10.1007/s00180-007-0020-9zbMath1194.62031OpenAlexW2090216362MaRDI QIDQ2271691

Jiří Zelinka, Ivana Horová

Publication date: 8 August 2009

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-007-0020-9

zbMATH Keywords

cross validationoversmoothingiterative bandwidth selection

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Density estimation (62G07)

Related Items (9)

Full bandwidth matrix selectors for gradient kernel density estimate ⋮ Visualization and Bandwidth Matrix Choice ⋮ An Inversion Theorem-Based Kernel Density Estimator for a Weighted Average and Difference of Weighted Averages with Applications ⋮ Bandwidth matrix selectors for kernel regression ⋮ A plug-in rule for bandwidth selection in circular density estimation ⋮ Direct density estimation of \(L\)-estimates via characteristic functions with applications ⋮ Maximum likelihood method for bandwidth selection in kernel conditional density estimate ⋮ Selection of bandwidth for kernel regression ⋮ Multivariate goodness-of-fit tests based on kernel density estimators

Uses Software

• KernSmooth

Cites Work

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• Locally adaptive hazard smoothing
• A simple root \(n\) bandwidth selector
• Nonparametric regression analysis of longitudinal data
• Universal smoothing factor selection in density estimation: theory and practice. (With discussion)
• A Flexible and Fast Method for Automatic Smoothing
• An iterative bandwidth selector for kernel estimation of densities and their derivatives

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