Feature significance for multivariate kernel density estimation

DOI10.1016/j.csda.2008.02.035zbMath1452.62265OpenAlexW2130167132MaRDI QIDQ1023768

Arianna Cowling, Tarn Duong, Inge Koch, Matthew P. Wand

Publication date: 16 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.02.035

Mathematics Subject Classification ID

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

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Uses Software

• R
• KernSmooth
• rflowcyt
• misc3d
• rgl
• pyuvdata
• SiZer

Cites Work

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• MISE of kernel estimates of a density and its derivatives
• Optimal rates of convergence for nonparametric estimators
• Scale space view of curve estimation.
• Smoothing methods in statistics
• Multivariate plug-in bandwidth selection
• A sharper Bonferroni procedure for multiple tests of significance
• Root n Bandwidth Selectors for Kernel Estimation of Density Derivatives
• SiZer for Exploration of Structures in Curves
• Plug-in bandwidth matrices for bivariate kernel density estimation
• An improved Bonferroni procedure for multiple tests of significance
• Cross-validation Bandwidth Matrices for Multivariate Kernel Density Estimation
• Advanced Distribution Theory for SiZer

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