Confidence graphs for graphical model selection
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Publication:2058790
DOI10.1007/s11222-021-10027-5zbMath1475.62065OpenAlexW3183432491MaRDI QIDQ2058790
Yang Li, Yichen Qin, Linna Wang
Publication date: 9 December 2021
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-021-10027-5
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Cites Work
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- The Model Confidence Set
- Fence methods for mixed model selection
- Sparse inverse covariance estimation with the graphical lasso
- TIGER: A tuning-insensitive approach for optimally estimating Gaussian graphical models
- Sparsistency and rates of convergence in large covariance matrix estimation
- Bootstrapping regression models
- An application of multiple comparison techniques to model selection
- The graphical lasso: new insights and alternatives
- Bootstrap inference for network construction with an application to a breast cancer microarray study
- Network exploration via the adaptive LASSO and SCAD penalties
- High-dimensional graphs and variable selection with the Lasso
- Bootstrapping Lasso Estimators
- Confidence sets for model selection by F -testing
- Model selection and estimation in the Gaussian graphical model
- Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
- Likelihood-Based Selection and Sharp Parameter Estimation
- Large Multiple Graphical Model Inference via Bootstrap
- Cross-Validation With Confidence
- Model confidence bounds for variable selection
- Model Selection confidence sets by likelihood ratio testing