Principal components analysis for mixtures with varying concentrations

DOI10.15559/21-VMSTA191zbMath1478.62156MaRDI QIDQ2068985

Olena Sugakova, Rostislav E. Maiboroda

Publication date: 20 January 2022

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

zbMATH Keywords

eigenvalueasymptotic normalityconfidence intervalfinite mixture modelprincipal componentsnonparametric estimationmixture with varying concentrations

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)

Uses Software

• mclust
• VanHuffel

Cites Work

• Unnamed Item
• Convergence rates of parameter estimation for some weakly identifiable finite mixtures
• Adaptive test on components of densities mixture
• Principal component analysis.
• Detection of sparse additive functions
• Jackknife covariance matrix estimation for observations from mixture
• Asymptotic normality of modified LS estimator for mixture of nonlinear regressions
• Adaptive estimation for a semiparametric model of mixture
• Generalized estimating equations for mixtures with varying concentrations
• Statistics of mixtures with varying concentrations with application to DNA microarray data analysis
• Advanced Time Series Data Analysis
• Applied Multivariate Statistical Analysis

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