An EM algorithm for fitting a mixture model with symmetric log-concave densities

DOI10.1080/03610926.2018.1530789OpenAlexW2905626854WikidataQ128696329 ScholiaQ128696329MaRDI QIDQ5085557

Xiao Pu, Ery Arias-Castro

Publication date: 27 June 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1530789

zbMATH Keywords

EM algorithmmixture modelslog-concave density

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• logcondens.mode

Cites Work

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• Inference for mixtures of symmetric distributions
• Limit distribution theory for maximum likelihood estimation of a log-concave density
• A stochastic EM algorithm for a semiparametric mixture model
• On the convergence properties of the EM algorithm
• Maximum likelihood estimation of the mixture of log-concave densities
• Inference for a two-component mixture of symmetric distributions under log-concavity
• Semiparametric estimation of a two-component mixture model
• A Lower Bound on the Risks of Non-Parametric Estimates of Densities in the Uniform Metric
• Detecting the Presence of Mixing with Multiscale Maximum Likelihood
• Semiparametric Mixtures of Symmetric Distributions
• Sequential Minimax Search for a Maximum

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