Hierarchical Gaussian graphical models: beyond reversible jump
type: Item
instance of: scholarly article
title: Hierarchical Gaussian graphical models: beyond reversible jump
zbMATH Open document ID: 1335.62042
DOI: 10.1214/12-EJS746
author: Yuan Cheng
author: Alex Lenkoski
published in: Electronic Journal of Statistics
publication date: 2013-05-28T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ejs/1354284421
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62A09
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 6167031
zbMATH Keywords: Gaussian graphical models
zbMATH Keywords: \(G\)-Wishart distribution
zbMATH Keywords: conditional Bayes factors
zbMATH Keywords: exchange algorithms
describes a project that uses: AMD
describes a project that uses: HdBCS
MaRDI profile type: Publication
cites work: Algorithm 837
cites work: A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models
cites work: Dynamic matrix-variate graphical models
cites work: Hyper Markov laws in the statistical analysis of decomposable graphical models
cites work: Q4164633
cites work: Copula Gaussian graphical models and their application to modeling functional disability data
cites work: Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data
cites work: Strictly Proper Scoring Rules, Prediction, and Estimation
cites work: Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
cites work: Experiments in stochastic computation for high-dimensional graphical models
cites work: Wishart distributions for decomposable graphs
cites work: A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants
cites work: A Metropolis-Hastings based method for sampling from the \(G\)-Wishart distribution in Gaussian graphical models
cites work: Independence Structure of Natural Conjugate Densities to Exponential Families and the Gibbs' Sampler
cites work: Flexible covariance estimation in graphical Gaussian models
cites work: Sparse covariance estimation in heterogeneous samples
cites work: Hyper Inverse Wishart Distribution for Non-decomposable Graphs and its Application to Bayesian Inference for Gaussian Graphical Models
cites work: Fast sampling of Gaussian Markov random fields
cites work: Gaussian Markov Random Fields
cites work: Simulation of hyper-inverse Wishart distributions for non-decomposable graphs
cites work: Efficient Gaussian graphical model determination under \(G\)-Wishart prior distributions
cites work: Dynamic financial index models: modeling conditional dependencies via graphs
cites work: Bayesian forecasting and dynamic models.
description: scientific article; zbMATH DE number 6167031