On bandwidth selection using minimal spanning tree for kernel density estimation
type: Item
instance of: scholarly article
title: On bandwidth selection using minimal spanning tree for kernel density estimation
zbMATH Open document ID: 1466.62197
author: Sreevani
author: C. A. Murthy
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 6918243
zbMATH Keywords: kernel density estimation
zbMATH Keywords: bandwidth selection
zbMATH Keywords: Euclidean minimal spanning tree
zbMATH Keywords: unbiased estimator
describes a project that uses: FRSDE
describes a project that uses: ks
describes a project that uses: UCI-ml
describes a project that uses: KernSmooth
describes a project that uses: DENCLUE
MaRDI profile type: Publication
full work available at URL: j.csda.2016.04.005
OpenAlex ID: W2346269128
cites work: Kernel contrasts: a data-based method of choosing smoothing parameters in nonparametric density estimation
cites work: Variable Kernel Estimates of Multivariate Densities
cites work: Q5405109
cites work: Parallel quasi-Newton methods for unconstrained optimization
cites work: Estimation of a multivariate density
cites work: Multivariate plug-in bandwidth selection with unconstrained pilot bandwidth matrices
cites work: FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation
cites work: Q4739659
cites work: New approaches to nonparametric density estimation and selection of smoothing parameters
cites work: On global properties of variable bandwidth density estimators
cites work: Smoothed cross-validation
cites work: Bandwidth selection for kernel density estimation: a review of fully automatic selectors
cites work: Statistical color models with application to skin detection
cites work: Q3174137
cites work: Improving Sheather and Jones’ bandwidth selector for difficult densities in kernel density estimation
cites work: A Nonparametric Estimate of a Multivariate Density Function
cites work: An advancement in clustering via nonparametric density estimation
cites work: On Estimation of a Probability Density Function and Mode
cites work: Q3992847
cites work: Robust Bayes classifiers
cites work: Indirect Cross-Validation for Density Estimation
cites work: Biased and Unbiased Cross-Validation in Density Estimation
cites work: Q4272483
cites work: Q4727203
cites work: Hyperparameter estimation and plug-in kernel density estimates for maximum a posteriori land-cover classification with multiband satellite data
cites work: Model based clustering of high-dimensional binary data
cites work: Variable kernel density estimation
cites work: Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation
cites work: Q4865051
cites work: A Bayesian approach to bandwidth selection for multivariate kernel density estimation
cites work: Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation
DOI: 10.1016/J.CSDA.2016.04.005
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description: scientific article; zbMATH DE number 6918243