Rejoinder to the comments on: \(\ell _{1}\)-penalization for mixture regression models
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Publication:619145
DOI10.1007/S11749-010-0203-5zbMath1203.62129OpenAlexW1976670078WikidataQ105583496 ScholiaQ105583496MaRDI QIDQ619145
Nicolas Städler, Sara van de Geer
Publication date: 22 January 2011
Published in: Test (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11749-010-0203-5
Asymptotic properties of parametric estimators (62F12) Generalized linear models (logistic models) (62J12)
Related Items (3)
On estimation of the diagonal elements of a sparse precision matrix ⋮ Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models ⋮ Structured analysis of the high-dimensional FMR model
Cites Work
- On the conditions used to prove oracle results for the Lasso
- Simultaneous analysis of Lasso and Dantzig selector
- High-dimensional generalized linear models and the lasso
- On the ``degrees of freedom of the lasso
- Variable Selection in Finite Mixture of Regression Models
- 10.1162/153244303321897717
- Gaussian model selection
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