The accuracy and the computational complexity of a multivariate binned kernel density estima\-tor.

DOI10.1006/jmva.1999.1863zbMath1065.62511OpenAlexW1969470770MaRDI QIDQ1975527

Lasse Holmström

Publication date: 2000

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmva.1999.1863

zbMATH Keywords

computational complexityKernel density estimationbinningestimation error

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items (6)

Kernel mixture model for probability density estimation in Bayesian classifiers ⋮ FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation ⋮ Algorithms for manipulation of level sets of nonparametric density estimates ⋮ Binned goodness-of-fit tests based on the empirical characteristic function ⋮ Asymptotic behaviour of binned kernel density estimators for locally non-stationary random fields ⋮ On the estimation error in binned local linear regression

Uses Software

• ESTIMA
• KernSmooth
• AS 176

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Smoothing by weighted averaging of rounded points
• Principles and procedures of numerical analysis
• Averaged shifted histograms: Effective nonparametric density estimators in several dimensions
• On the accuracy of binned kernel density estimators
• Algorithm AS 176: Kernel Density Estimation Using the Fast Fourier Transform
• The Influence of Rounding Errors on Some Nonparametric Estimators of a Density and its Derivatives

This page was built for publication: The accuracy and the computational complexity of a multivariate binned kernel density estima\-tor.