A Relaxation Approach to Feature Selection for Linear Mixed Effects Models
From MaRDI portal
Publication:6552552
DOI10.1080/10618600.2023.2231496MaRDI QIDQ6552552
Peng Zheng, Aleksandr Y. Aravkin, James V. Burke, Unnamed Author, Unnamed Author
Publication date: 10 June 2024
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fence methods for mixed model selection
- The Adaptive Lasso and Its Oracle Properties
- Model selection in linear mixed models
- Inference for mixed models of ANOVA type with high-dimensional data
- Variable selection for generalized linear mixed models by \(L_1\)-penalized estimation
- Mixed effects models and extensions in ecology with R
- A unified approach to interior point algorithms for linear complementarity problems: A summary
- An interior-point algorithm for nonconvex nonlinear programming
- Variable selection in linear mixed effects models
- Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods
- Model selection in linear mixed-effect models
- Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects
- Estimation for High-Dimensional Linear Mixed-Effects Models Using ℓ1-Penalization
- Fixed and Random Effects Selection in Mixed Effects Models
- Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models
- Random Effects Selection in Linear Mixed Models
- Further analysis of the data by Akaike's information criterion and the finite corrections
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Mixed-Effects Models in S and S-PLUS
- First-Order Methods in Optimization
- A simultaneous variable selection methodology for linear mixed models
- Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
- Comments on «Wavelets in statistics: A review» by A. Antoniadis
- Robust Variable Selection in Linear Mixed Models
- Basis Pursuit Denoise With Nonsmooth Constraints
- Conditional Akaike information for mixed-effects models
- Recovery of inter-block information when block sizes are unequal
This page was built for publication: A Relaxation Approach to Feature Selection for Linear Mixed Effects Models