An evaluation of the bootstrap for model validation in mixture models

DOI10.1080/03610918.2017.1303726OpenAlexW2594843286WikidataQ90384860 ScholiaQ90384860MaRDI QIDQ5084769

Thomas Jaki, M. Lee van Horn, Minjung Kim, Ting-li Su

Publication date: 28 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc6284826

zbMATH Keywords

nonparametric bootstrapmodel validationfinite mixture modelsregression mixture modelsleave-k-out cross-validation

Mathematics Subject Classification ID

Statistics (62-XX) Applied statistics (educational aspects) (97K80)

Uses Software

• flexmix
• bootstrap
• bootlib

Cites Work

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• Estimating the number of components in a finite mixture model: the special case of homogeneity
• Finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research
• Standard errors of fitted component means of normal mixture
• Bootstrap confidence intervals. With comments and a rejoinder by the authors
• Bayesian inference for finite mixtures of generalized linear models with random effects

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