Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison (Q6651425)

scientific article; zbMATH DE number 7956518

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English	Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison	scientific article; zbMATH DE number 7956518

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instance of

scholarly article

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title

Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison (English)

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Journal of the American Statistical Association

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publication date

10 December 2024

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MaRDI profile type

Publication

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cites work

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Sparse estimation of a covariance matrix

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Partial correlation graphical LASSO

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Simulation of hyper-inverse Wishart distributions in graphical models

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An Invitation to Sequential Monte Carlo Samplers

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Copula Gaussian graphical models and their application to modeling functional disability data

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Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data

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Loglinear model selection and human mobility

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Network exploration via the adaptive LASSO and SCAD penalties

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Sparse inverse covariance estimation with the graphical lasso

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Bayesian Regularization for Graphical Models With Unequal Shrinkage

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Bayes factors for zero partial covariances

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Improving Markov chain Monte Carlo model search for data mining

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Decomposable graphical Gaussian model determination

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Exact estimation for Markov chain equilibrium expectations

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Reversible jump Markov chain Monte Carlo computation and Bayesian model determination

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Efficient sampling of Gaussian graphical models using conditional Bayes factors

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Extending the rank likelihood for semiparametric copula estimation

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Graphical Gaussian Models With Edge and Vertex Symmetries

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Learning gene regulatory networks from next generation sequencing data

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Fast Bayesian inference in large Gaussian graphical models

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Learning Gaussian graphical models with fractional marginal pseudo-likelihood

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Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics

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The Graphical Horseshoe Estimator for Inverse Covariance Matrices

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Markov Neighborhood Regression for High-Dimensional Inference

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Markov chains for exploring posterior distributions. (With discussion)

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Identifiers

DOI

10.1080/01621459.2024.2395504

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Mathematics Subject Classification ID

62-XX

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zbMATH DE Number

7956518

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Sitelinks

Mathematics(1 entry)

mardi Publication:6651425