[HDDA] sparse subspace constrained partial least squares

DOI10.1080/00949655.2018.1555830OpenAlexW2904690387MaRDI QIDQ5107373

Matthew William Sutton, Bernoît Liquet, Kerrie L. Mengersen

Publication date: 27 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2018.1555830

zbMATH Keywords

partial least squaresdeflationLassopenalized matrix decomposition

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• plsgenomics
• mixOmics
• PMA

Cites Work

• Unnamed Item
• A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Coordinate-independent sparse sufficient dimension reduction and variable selection
• Sparse principal component analysis via regularized low rank matrix approximation
• An overview on the shrinkage properties of partial least squares regression
• Minimax sparse principal subspace estimation in high dimensions
• A Sparse PLS for Variable Selection when Integrating Omics Data
• Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection
• Envelopes and Partial Least Squares Regression
• Regularized partial least squares with an application to NMR spectroscopy
• Localized Functional Principal Component Analysis

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