Performance characterization of clusterwise linear regression algorithms

DOI10.1002/wics.70004zbMATH Open1548.6201MaRDI QIDQ6642759

Melanie Po-Leen Ooi, Ye Chow Kuang

Publication date: 25 November 2024

Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Robust fitting of mixtures using the trimmed likelihood estimator
• Robust fitting of mixture regression models
• \(K\)-plane regression
• A maximum likelihood methodology for clusterwise linear regression
• Clusterwise functional linear regression models
• Clusterwise PLS regression on a stochastic process
• Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable
• Clusterwise linear regression
• Identifiability of models for clusterwise linear regression
• Robust mixture regression using the \(t\)-distribution
• Mixtures of quantile regressions
• Clusterwise linear regression modeling with soft scale constraints
• Nonsmooth nonconvex optimization approach to clusterwise linear regression problems
• Robust clusterwise linear regression through trimming
• Variable Selection in Finite Mixture of Regression Models
• Multivariate linear regression for heterogeneous data
• Fitting mixtures of linear regressions
• Robust Statistics

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