Model selection for Gaussian concentration graphs

From MaRDI portal
Publication:3429964

DOI10.1093/biomet/91.3.591zbMath1108.62098OpenAlexW2088088467WikidataQ57566470 ScholiaQ57566470MaRDI QIDQ3429964

Mathias Drton, Michael D. Perlman

Publication date: 20 March 2007

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/91.3.591



Related Items

Bayesian hypothesis testing for Gaussian graphical models: conditional independence and order constraints, Robust identification in random variable networks, High dimensional Gaussian copula graphical model with FDR control, Unnamed Item, Mixed Graphical Model Selection Using Holm's Procedure, Singular Gaussian graphical models: Structure learning, Berry-Esseen bounds for estimating undirected graphs, Sequences of regressions and their independences, Exact test theory in Gaussian graphical models, Testing diagonality of high-dimensional covariance matrix under non-normality, Reference priors for linear models with general covariance structures, Multiple testing and error control in Gaussian graphical model selection, Time varying undirected graphs, Robust concentration graph model selection, Estimation of high-dimensional partially-observed discrete Markov random fields, Maximum pairwise Bayes factors for covariance structure testing, Learning Oncogenic Pathways from Binary Genomic Instability Data, Uniformly most powerful unbiased test for conditional independence in Gaussian graphical model, A SINful approach to Gaussian graphical model selection, Evaluation of transfer evidence for three-level multivariate data with the use of graphical models, An empirical Bayes procedure for the selection of Gaussian graphical models, Estimating time-varying networks, Network exploration via the adaptive LASSO and SCAD penalties, A nonparametric test for block-diagonal covariance structure in high dimension and small samples, High-dimensional graphs and variable selection with the Lasso, A focused information criterion for graphical models, On oracle property and asymptotic validity of Bayesian generalized method of moments, A Projection Based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models, Edge selection for undirected graphs, Gaussian graphical model estimation with false discovery rate control, Regularized rank-based estimation of high-dimensional nonparanormal graphical models, A review of Gaussian Markov models for conditional independence, Effectiveness of combinations of Gaussian graphical models for model building, Unnamed Item, Loss function, unbiasedness, and optimality of Gaussian graphical model selection, On Block Ordering of Variables in Graphical Modelling, Maximum Likelihood Estimation in Gaussian Chain Graph Models under the Alternative Markov Property, Objective Bayesian Search of Gaussian Directed Acyclic Graphical Models for Ordered Variables with Non‐Local Priors, Unnamed Item