On the performance of kernel estimators for high-dimensional, sparse binary data
type: Item
instance of: scholarly article
title: On the performance of kernel estimators for high-dimensional, sparse binary data
zbMATH Open document ID: 0766.62019
author: Birgit Grund
author: Peter Hall
published in: Journal of Multivariate Analysis
publication date: 1993-05-16T00:00:00Z
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 168719
zbMATH Keywords: Kullback-Leibler loss
zbMATH Keywords: mean squared error
zbMATH Keywords: use of dimensionality
zbMATH Keywords: squared error
zbMATH Keywords: high-dimensional binary distributions
zbMATH Keywords: smoothing methods for sparse binary data
zbMATH Keywords: kernel-type estimator
zbMATH Keywords: data dimension
zbMATH Keywords: data sparseness
zbMATH Keywords: distribution smoothness
zbMATH Keywords: frequency estimator
zbMATH Keywords: effectiveness of cross-validation
MaRDI profile type: Publication
full work available at URL: jmva.1993.1019
OpenAlex ID: W2069847260
DOI: 10.1006/JMVA.1993.1019
description: scientific article; zbMATH DE number 168719