Multiple and multilevel graphical models
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Publication:6601096
DOI10.1002/wics.1497zbMATH Open1544.62079MaRDI QIDQ6601096
Wenyu Gao, Jiali Lin, Byung-Jun Kim, Liang Shan, Hamdy F. F. Mahmoud, Inyoung Kim
Publication date: 10 September 2024
Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)
Cites Work
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- Sparse inverse covariance estimation with the graphical lasso
- The Adaptive Lasso and Its Oracle Properties
- Regularized rank-based estimation of high-dimensional nonparanormal graphical models
- Markov properties of nonrecursive causal models
- Joint estimation of multiple Gaussian graphical models across unbalanced classes
- On constrained estimation of graphical time series models
- Stable graphical model estimation with random forests for discrete, continuous, and mixed variables
- High-dimensional semiparametric Gaussian copula graphical models
- Sparse permutation invariant covariance estimation
- Network exploration via the adaptive LASSO and SCAD penalties
- Multilevel Gaussian graphical model for multilevel networks
- High-dimensional graphs and variable selection with the Lasso
- Joint estimation of multiple high-dimensional precision matrices
- Inferring network structure in non-normal and mixed discrete-continuous genomic data
- Joint estimation of multiple graphical models
- Model selection and estimation in the Gaussian graphical model
- Markov Graphs
- Structural Pursuit Over Multiple Undirected Graphs
- Joint Estimation of the Two-Level Gaussian Graphical Models Across Multiple Classes
- The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
- Selection and estimation for mixed graphical models
- High Dimensional Semiparametric Latent Graphical Model for Mixed Data
- On Joint Estimation of Gaussian Graphical Models for Spatial and Temporal Data
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