Estimating the mixing proportion in a semiparametric mixture model

DOI10.1016/j.csda.2010.04.007zbMath1284.62395OpenAlexW2063033621WikidataQ57307884 ScholiaQ57307884MaRDI QIDQ2445681

Seongjoo Song, Jongwoo Song, Dan L. Nicolae

Publication date: 14 April 2014

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

Full work available at URL: https://doi.org/10.1016/j.csda.2010.04.007

zbMATH Keywords

clusteringsemiparametric mixture model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (6)

Semiparametric location mixtures with distinct components ⋮ Improved variational bounds for conductive periodic composites with 3D microstructures and nonuniform thermal resistance ⋮ Bayesian analysis for mixtures of discrete distributions with a non-parametric component ⋮ Minimum profile Hellinger distance estimation for a semiparametric mixture model ⋮ An overview of semiparametric extensions of finite mixture models ⋮ Flexible estimation of a semiparametric two-component mixture model with one parametric component

Uses Software

• R
• S-PLUS

Cites Work

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• Smoothing techniques. With implementation in S
• Integrating robust clustering techniques in S-PLUS
• The limiting behavior of a modified maximal symmetric \(2s\)-spacing with applications
• Improved variable window kernel estimates of probability densities
• A sequential clustering algorithm with applications to gene expression data
• Uniform in bandwidth consistency of kernel-type function estimators
• Remarks on Some Nonparametric Estimates of a Density Function

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