Deterministic bridge regression for compressive classification

DOI10.1016/j.ins.2023.119505arXiv2203.09721MaRDI QIDQ6052631

Kar-Ann Toh, Giuseppe Molteni, Zhiping Lin

Publication date: 22 September 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2203.09721

zbMATH Keywords

pattern classificationridge regressionleast squares regressionbridge regressioncompressive estimation

Mathematics Subject Classification ID

Statistics (62-XX) Numerical optimization and variational techniques (65K10)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Selection of tuning parameters in bridge regression models via Bayesian information criterion
• One-step sparse estimates in nonconcave penalized likelihood models
• Elastic net penalized quantile regression model
• Splicing learning: a novel few-shot learning approach
• Stretchy binary classification
• Bridge regression: adaptivity and group selection
• Bayesian bridge-randomized penalized quantile regression
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• A Statistical View of Some Chemometrics Regression Tools
• Regularization and Variable Selection Via the Elastic Net
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

This page was built for publication: Deterministic bridge regression for compressive classification