Semiparametric estimation of a two-component mixture of linear regressions in which one component is known

DOI10.1214/13-EJS858zbMath1294.62151arXiv1301.3473MaRDI QIDQ375221

Laurent Bordes, Pierre Vandekerkhove, Ivan Kojadinovic

Publication date: 29 October 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1301.3473

zbMATH Keywords

mixtureasymptotic normalityweighted bootstraplinear regressionmethod of momentsidentifiabilitymultiplier central limit theorem

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Central limit and other weak theorems (60F05)

Related Items (4)

Adaptive estimation in the supremum norm for semiparametric mixtures of regressions ⋮ Identifiability of nonparametric mixture models and Bayes optimal clustering ⋮ 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
• flexmix
• ks
• mixtools
• mixreg
• ChIPmix

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Semiparametric mixtures of regressions
• U-processes: Rates of convergence
• \(\ell_{1}\)-penalization for mixture regression models
• Mixtures of linear regressions
• Nonparametric estimation of component distributions in a multivariate mixture
• Multivariate plug-in bandwidth selection
• Mixtures of regressions with predictor-dependent mixing proportions
• Introduction to empirical processes and semiparametric inference
• Multivariate logistic compounds
• Estimating Mixtures of Normal Distributions and Switching Regressions
• Asymptotic Statistics
• Estimating the Propagation Rate of a Viral Infection of Potato Plants via Mixtures of Regressions
• Hypothesis Testing in Mixture Regression Models
• Correction of Density Estimators that are not Densities
• Estimation of a semiparametric mixture of regressions model
• Empirical processes indexed by estimated functions
• Semiparametric Estimation of a Two‐component Mixture Model where One Component is known
• Determining the number of components in mixtures of linear models.

This page was built for publication: Semiparametric estimation of a two-component mixture of linear regressions in which one component is known