On the choice of the smoothing parameter in kernel density estimation

DOI10.3103/S0278641909030042zbMath1175.65019OpenAlexW2040621228MaRDI QIDQ735553

N. G. Ushakov, V. G. Ushakov

Publication date: 23 October 2009

Published in: Moscow University Computational Mathematics and Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3103/s0278641909030042

zbMATH Keywords

algorithmstotal variationnumerical exampleskernel estimatessmoothing parameter

Mathematics Subject Classification ID

Density estimation (62G07)

Uses Software

• KernSmooth

Cites Work

• Unnamed Item
• Using non-stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives
• Estimation of integrated squared density derivatives
• Exact mean integrated squared error
• Selected Topics in Characteristic Functions
• Curve Estimates

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