Estimating Time-Varying Graphical Models
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Publication:3391467
DOI10.1080/10618600.2019.1647848OpenAlexW2966641445MaRDI QIDQ3391467
Publication date: 28 March 2022
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023339
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Uses Software
Cites Work
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- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Sparse inverse covariance estimation with the graphical lasso
- Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer
- Estimating time-varying networks
- Sparsistency and rates of convergence in large covariance matrix estimation
- Estimating networks with jumps
- Sparse permutation invariant covariance estimation
- High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence
- Time varying undirected graphs
- High-dimensional graphs and variable selection with the Lasso
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
- Model selection and estimation in the Gaussian graphical model
- Sparsity and Smoothness Via the Fused Lasso
- The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
- Partial Correlation Estimation by Joint Sparse Regression Models
- Fused Multiple Graphical Lasso
- Model Selection and Estimation in Regression with Grouped Variables
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