Improving the accuracy and internal consistency of regression-based clustering of high-dimensional datasets

DOI10.1515/SAGMB-2022-0031MaRDI QIDQ6177168

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Publication date: 29 August 2023

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

zbMATH Keywords

supervised learningmixture modelingdisease heterogeneity

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• The Adaptive Lasso and Its Oracle Properties
• Statistical guarantees for the EM algorithm: from population to sample-based analysis
• The sparsity and bias of the LASSO selection in high-dimensional linear regression
• On the convergence properties of the EM algorithm
• Unified LASSO Estimation by Least Squares Approximation
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Regularization and Variable Selection Via the Elastic Net
• On the Non-Negative Garrotte Estimator

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