Comments on: \(\ell_{1}\)-penalization for mixture regression models

DOI10.1007/s11749-010-0202-6zbMath1203.62125OpenAlexW2020617589MaRDI QIDQ5966116

Eustasio del Barrio

Publication date: 22 January 2011

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-010-0202-6

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Generalized linear models (logistic models) (62J12)

Cites Work

• The Adaptive Lasso and Its Oracle Properties
• Sparse estimators and the oracle property, or the return of Hodges' estimator
• Concentration inequalities and model selection. Ecole d'Eté de Probabilités de Saint-Flour XXXIII -- 2003.
• A non asymptotic penalized criterion for Gaussian mixture model selection
• Data-driven penalty calibration: A case study for Gaussian mixture model selection

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