A Compressive Sensing Based Analysis of Anomalies in Generalized Linear Models

DOI10.1080/03610926.2013.781641zbMath1332.62252OpenAlexW2027944745WikidataQ60538308 ScholiaQ60538308MaRDI QIDQ2792266

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Publication date: 8 March 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.781641

zbMATH Keywords

convex optimizationgeneralized linear modelscompressive sensingmodel order reductionregularized regressionsparse signal processingblock-sparsity

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Convex programming (90C25)

Cites Work

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