A combined likelihood ratio/information ratio bootstrap technique for estimating the number of components in finite mixtures

DOI10.1016/j.csda.2013.01.028zbMath1471.62164OpenAlexW2041149829MaRDI QIDQ1621286

Athanase Polymenis

Publication date: 8 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.01.028

zbMATH Keywords

simulationlikelihood ratiomixture modelparametric bootstrapinformation ratio

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (1)

Editorial: The 2nd special issue on advances in mixture models

Cites Work

• Exact mean integrated squared error
• Estimating the dimension of a model
• Bootstrap methods: another look at the jackknife
• On the determination of the number of components in a mixture
• On the global and componentwise rates of convergence of the EM algorithm
• On the rate of convergence of the ECM algorithm
• On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples
• Quadratic distances on probabilities: A unified foundation
• Model Selection in High Dimensions: A Quadratic-Risk-Based Approach
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