Robust multivariate mixture regression models with incomplete data

DOI10.1080/00949655.2016.1209198OpenAlexW2483250060MaRDI QIDQ5106781

Hwa Kyung Lim, Sooyoung Cheon, Naveen Naidu Narisetty

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2016.1209198

zbMATH Keywords

incomplete dataoutliermultivariate \(t\)-distributionrobust clusteringmultivariate mixture regression models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

On the robustness to outliers of the Student‐t process

Uses Software

• Algorithm 39

Cites Work

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• Clusterwise linear regression
• Robust mixture regression using the \(t\)-distribution
• A multivariate linear regression analysis using finite mixtures of \(t\) distributions
• Robust regression: Asymptotics, conjectures and Monte Carlo
• On fast supervised learning for normal mixture models with missing information
• Finite mixture and Markov switching models.
• Robust Mixture of Linear Regression Models
• A New Approach to Estimating Switching Regressions

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