A fast and objective multidimensional kernel density estimation method: fastKDE
type: Item
instance of: scholarly article
title: A fast and objective multidimensional kernel density estimation method: fastKDE
zbMATH Open document ID: 1467.62015
author: Travis A. O'Brien
author: Karthik Kashinath
author: Nicholas R. Cavanaugh
author: W. D. Collins
author: John P. O'Brien
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: 6918279
zbMATH Keywords: empirical characteristic function
zbMATH Keywords: ECF
zbMATH Keywords: kernel density estimation
zbMATH Keywords: histogram
zbMATH Keywords: nonuniform FFT
zbMATH Keywords: multidimensional KDE
describes a project that uses: scdensity
describes a project that uses: R
describes a project that uses: Stata
describes a project that uses: pyuvdata
describes a project that uses: KernSmooth
MaRDI profile type: Publication
full work available at URL: j.csda.2016.02.014
OpenAlex ID: W2295984635
Wikidata QID: Q58313069
cites work: Self-Consistent Method for Density Estimation
cites work: Cross-validation Bandwidth Matrices for Multivariate Kernel Density Estimation
cites work: Accelerating the Nonuniform Fast Fourier Transform
cites work: Bandwidth selection for kernel density estimation: a review of fully automatic selectors
cites work: Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas
cites work: Reducing the computational cost of the ECF using a nuFFT: a fast and objective probability density estimation method
cites work: Q4727203
cites work: Q4865051
cites work: Transformations in Density Estimation
DOI: 10.1016/J.CSDA.2016.02.014
DBLP publication ID: journals/csda/OBrienKCCO16
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description: scientific article; zbMATH DE number 6918279