Confidence ellipsoids for regression coefficients by observations from a mixture

DOI10.15559/18-VMSTA105zbMath1392.62208arXiv1806.03850WikidataQ129731928 ScholiaQ129731928MaRDI QIDQ1645199

Vitalii Miroshnichenko, Rostislav E. Maiboroda

Publication date: 28 June 2018

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

Full work available at URL: https://arxiv.org/abs/1806.03850

zbMATH Keywords

maximum likelihoodEM-algorithmfinite mixture modellinear regressionnonparametric estimationmixture with varying concentrationsconfidence ellipsoid

Mathematics Subject Classification ID

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

Related Items (2)

Jackknife covariance matrix estimation for observations from mixture ⋮ A generalized Nadaraya–Watson estimator for observations obtained from a mixture

Uses Software

• mixtools

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Linear regression by observations from mixture with varying concentrations
• Sampling bias correction in the 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
• Adaptive test on means homogeneity by observations from a mixture
• Test on components of mixture densities
• The EM Algorithm and Extensions, 2E
• Statistical analysis of finite mixture distributions
• Fitting mixtures of linear regressions

This page was built for publication: Confidence ellipsoids for regression coefficients by observations from a mixture