A robust high dimensional estimation of a finite mixture of the generalized linear model
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Publication:5092682
DOI10.1080/03610926.2020.1815780OpenAlexW3090624068MaRDI QIDQ5092682
Azam Sabbaghi, Farzad Eskandari
Publication date: 22 July 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1815780
Generalized linear models (logistic models) (62J12) Robustness and adaptive procedures (parametric inference) (62F35)
Cites Work
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- \(\ell_{1}\)-penalization for mixture regression models
- Fast global convergence of gradient methods for high-dimensional statistical recovery
- Wavelet methods in statistics: some recent developments and their applications
- Self-concordant analysis for logistic regression
- Efficient mixture model for clustering of sparse high dimensional binary data
- High-dimensional generalized linear models and the lasso
- Binomial Mixture Modeling of University Credits
- Variable selection in finite mixture of semi-parametric regression models
- Outlier Detection Using Nonconvex Penalized Regression
- Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers
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