A combined likelihood ratio/information ratio bootstrap technique for estimating the number of components in finite mixtures
type: Item
instance of: scholarly article
title: A combined likelihood ratio/information ratio bootstrap technique for estimating the number of components in finite mixtures
zbMATH Open document ID: 1471.62164
author: Athanase Polymenis
published in: Computational Statistics and Data Analysis
publication date: 2018-11-08T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F40
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6975375
zbMATH Keywords: mixture model
zbMATH Keywords: information ratio
zbMATH Keywords: likelihood ratio
zbMATH Keywords: parametric bootstrap
zbMATH Keywords: simulation
MaRDI profile type: Publication
full work available at URL: j.csda.2013.01.028
OpenAlex ID: W2041149829
cites work: Q3969900
cites work: Q4264740
cites work: Q4139463
cites work: Bootstrap methods: another look at the jackknife
cites work: Quadratic distances on probabilities: A unified foundation
cites work: Exact mean integrated squared error
cites work: On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples
cites work: Finite mixture models
cites work: On the rate of convergence of the ECM algorithm
cites work: On the global and componentwise rates of convergence of the EM algorithm
cites work: Q5679537
cites work: On the determination of the number of components in a mixture
cites work: Model Selection in High Dimensions: A Quadratic-Risk-Based Approach
cites work: Estimating the dimension of a model
cites work: Statistical analysis of finite mixture distributions
DOI: 10.1016/J.CSDA.2013.01.028
description: scientific article; zbMATH DE number 6975375