A moment-distance hybrid method for estimating a mixture of two symmetric densities

DOI10.15559/17-VMSTA93zbMath1392.62062OpenAlexW2783698433MaRDI QIDQ1641931

David Källberg, Patrik Rydén, Yu. K. Belyaev

Publication date: 20 June 2018

Published in: Modern Stochastics. Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15559/17-vmsta93

zbMATH Keywords

model-based clusteringmethod of momentsminimum distanceinference for mixtures

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35) Genetics and epigenetics (92D10) Statistical ranking and selection procedures (62F07)

Uses Software

• mixtools
• ElemStatLearn
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Cites Work

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• Inference for mixtures of symmetric distributions
• A constrained formulation of maximum-likelihood estimation for normal mixture distributions
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• A survey of outlier detection methodologies
• Semiparametric estimation of a two-component mixture model
• Robust estimation in the normal mixture model
• A Comparison of Minimum Distance and Maximum Likelihood Estimation of a Mixture Proportion
• A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
• Statistical analysis of finite mixture distributions
• Stochastic versions of the em algorithm: an experimental study in the mixture case
• Minimum Hellinger Distance Estimation for Finite Mixture Models
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Understanding Elongation: The Scale Contaminated Normal Family
• A Simplex Method for Function Minimization

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