Linear regression by observations from mixture with varying concentrations

DOI10.15559/15-VMSTA41zbMath1349.62315arXiv1601.01109OpenAlexW2226338431MaRDI QIDQ340794

Daryna Liubashenko, Rostislav E. Maiboroda

Publication date: 15 November 2016

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

Full work available at URL: https://arxiv.org/abs/1601.01109

zbMATH Keywords

consistencyasymptotic normalityfinite mixture modellinear regressionnonparametric estimationmixture with varying concentrations

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Related Items (4)

Confidence ellipsoids for regression coefficients by observations from a mixture ⋮ A generalized Nadaraya–Watson estimator for observations obtained from a mixture ⋮ Asymptotic normality of modified LS estimator for mixture of nonlinear regressions ⋮ Orthogonal regression method for observations from a mixture

Cites Work

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• Estimation of the mean value in a model of mixtures with varying concentrations
• Generalized estimating equations for mixtures with varying concentrations
• Statistics of mixtures with varying concentrations with application to DNA microarray data analysis
• Lower bound for a dispersion matrix for the semiparametric estimation in a model of mixtures
• Adaptive test on means homogeneity by observations from a mixture
• Test on components of mixture densities
• Statistical analysis of finite mixture distributions
• Finite mixture models

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