Sparse-smooth regularized singular value decomposition

DOI10.1016/j.jmva.2013.02.011zbMath1359.62222OpenAlexW1966680272MaRDI QIDQ391596

Heng Lian, Zhaoping Hong

Publication date: 10 January 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2013.02.011

zbMATH Keywords

waveletssplinesSVDfMRI

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Density estimation (62G07)

Uses Software

• PMA

Cites Work

• Unnamed Item
• A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
• Statistical theory of shape under elliptical models and singular value decompositions
• Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix
• Minimax estimation via wavelet shrinkage
• Functional principal components analysis via penalized rank one approximation
• Pathwise coordinate optimization
• The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions
• Biclustering via Sparse Singular Value Decomposition
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Functional Principal Component Regression and Functional Partial Least Squares
• Ideal spatial adaptation by wavelet shrinkage
• Regularization of Wavelet Approximations
• Sparsity and Smoothness Via the Fused Lasso
• On Consistency and Sparsity for Principal Components Analysis in High Dimensions
• Singular Value Decomposition–Based Alternative Splicing Detection

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