Simultaneous nonparametric regression in RADWT dictionaries

DOI10.1016/j.csda.2018.11.003OpenAlexW2903790649WikidataQ128788037 ScholiaQ128788037MaRDI QIDQ1727921

Italia De Feis, Daniela de Canditiis

Publication date: 21 February 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.03095

zbMATH Keywords

multichannelgrouped LassoRADWT

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• gglasso

Cites Work

• Unnamed Item
• Penalized methods for bi-level variable selection
• Statistics for high-dimensional data. Methods, theory and applications.
• Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms
• Convex multi-task feature learning
• Algorithms for simultaneous sparse approximation. I: Greedy pursuit
• Algorithms for simultaneous sparse approximation. II: Convex relaxation
• Standardization and the Group Lasso Penalty
• Frequency-Domain Design of Overcomplete Rational-Dilation Wavelet Transforms
• Model Selection and Estimation in Regression with Grouped Variables
• Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ ¹ minimization
• Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
• A fast unified algorithm for solving group-lasso penalize learning problems
• A selective review of group selection in high-dimensional models

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