Robust estimation of the number of components for mixtures of linear regression models

DOI10.1007/s00180-015-0610-xzbMath1348.65032OpenAlexW74905987MaRDI QIDQ333392

Meng Li, Weixin Yao, Sijia Xiang

Publication date: 28 October 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://escholarship.org/uc/item/0jt0r082

zbMATH Keywords

robustnessmodel selectionmixture of linear regression modelstrimmed likelihood estimator

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items

Model-based clustering via new parsimonious mixtures of heavy-tailed distributions ⋮ A Selective Overview and Comparison of Robust Mixture Regression Estimators ⋮ Anomaly and novelty detection for robust semi-supervised learning ⋮ Finding the Number of Normal Groups in Model-Based Clustering via Constrained Likelihoods

Uses Software

• mixtools

Cites Work

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