A short note on optimal bandwidth selection for kernel estimators
type: Item
instance of: scholarly article
title: A short note on optimal bandwidth selection for kernel estimators
zbMATH Open document ID: 0687.62025
DOI: 10.1016/0167-7152(90)90090-T
author: Enno Mammen
published in: Statistics \& Probability Letters
publication date: 1990-01-01T00:00:00Z
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 4126483
zbMATH Keywords: density estimation
zbMATH Keywords: kernel estimators
zbMATH Keywords: data-based bandwidth
zbMATH Keywords: Mean Integrated Squared Error
zbMATH Keywords: bandwidth selection
MaRDI profile type: Publication
cites work: Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation
cites work: On the amount of noise inherent in bandwidth selection for a kernel density estimator
cites work: Estimation of integrated squared density derivatives
cites work: Lower bounds for bandwidth selection in density estimation
cites work: How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
cites work: Biased and Unbiased Cross-Validation in Density Estimation
full work available at URL: 0167-7152(90)90090-t
OpenAlex ID: W2024945411
description: scientific article; zbMATH DE number 4126483