Convergence rates for unconstrained bandwidth matrix selectors in multivariate kernel density estimation
type: Item
instance of: scholarly article
title: Convergence rates for unconstrained bandwidth matrix selectors in multivariate kernel density estimation
zbMATH Open document ID: 1066.62059
author: Tarn Duong
author: Martin L. Hazelton
published in: Journal of Multivariate Analysis
publication date: 2005-05-12T00:00:00Z
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 2167808
zbMATH Keywords: Biased cross-validation
zbMATH Keywords: Gaussian kernel
zbMATH Keywords: MISE
zbMATH Keywords: Plug-in
zbMATH Keywords: Smoothing
describes a project that uses: KernSmooth
describes a project that uses: pyuvdata
MaRDI profile type: Publication
full work available at URL: j.jmva.2004.04.004
OpenAlex ID: W1988224587
cites work: Plug-in bandwidth matrices for bivariate kernel density estimation
cites work: Cross-validation Bandwidth Matrices for Multivariate Kernel Density Estimation
cites work: Q4695795
cites work: A Brief Survey of Bandwidth Selection for Density Estimation
cites work: Using non-stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives
cites work: Q4039873
cites work: Cross-Validation of Multivariate Densities
cites work: Q4863755
cites work: Biased and Unbiased Cross-Validation in Density Estimation
cites work: Error analysis for general multtvariate kernel estimators
cites work: Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation
cites work: Multivariate plug-in bandwidth selection
cites work: Q4865051
DOI: 10.1016/J.JMVA.2004.04.004
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description: scientific article; zbMATH DE number 2167808