``Grouping strategies and thresholding for high dimensional linear models: discussion

DOI10.1016/j.jspi.2013.03.003zbMath1432.62105OpenAlexW2006421606MaRDI QIDQ394554

Guillaume Obozinski

Publication date: 27 January 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2013.03.003

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Cites Work

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• Oracle inequalities and optimal inference under group sparsity
• The benefit of group sparsity
• A note on adaptive group Lasso
• Support union recovery in high-dimensional multivariate regression
• Greed is Good: Algorithmic Results for Sparse Approximation
• Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
• Model Selection and Estimation in Regression with Grouped Variables

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