Imputation through finite Gaussian mixture models
type: Item
instance of: scholarly article
title: Imputation through finite Gaussian mixture models
zbMATH Open document ID: 1445.62021
author: Marco Di Zio
author: Ugo Guarnera
author: Orietta Luzi
published in: Computational Statistics and Data Analysis
publication date: 2009-05-29T00:00:00Z
Mathematics Subject Classification ID: 62D10
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 5559627
zbMATH Keywords: incomplete data
zbMATH Keywords: imputation
zbMATH Keywords: nearest neighbour donor
describes a project that uses: MULTIMIX
MaRDI profile type: Publication
full work available at URL: j.csda.2006.10.002
OpenAlex ID: W2132108942
cites work: Model-Based Clustering, Discriminant Analysis, and Density Estimation
cites work: Mixture model clustering for mixed data with missing information
cites work: Q4493303
cites work: Q4779059
cites work: Exact mean integrated squared error
cites work: Finite mixture models
cites work: Nonparametric conditional mean imputation
cites work: Adaptive Mixtures
cites work: On Variance Estimation With Imputed Survey Data
cites work: Q4654005
cites work: Q4246485
cites work: Estimating the dimension of a model
DOI: 10.1016/J.CSDA.2006.10.002
description: scientific article; zbMATH DE number 5559627