Learning Markov equivalence classes of directed acyclic graphs: an objective Bayes approach
type: Item
instance of: scholarly article
title: Learning Markov equivalence classes of directed acyclic graphs: an objective Bayes approach
zbMATH Open document ID: 1407.62189
DOI: 10.1214/18-BA1101
author: Federico Castelletti
author: Guido Consonni
author: Marco L. Della Vedova
author: Stefano Peluso
published in: Bayesian Analysis
publication date: 2018-12-06T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ba/1521079250
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 05C20
Mathematics Subject Classification ID: 62H99
zbMATH DE Number: 6989983
zbMATH Keywords: Bayesian model selection
zbMATH Keywords: CPDAG
zbMATH Keywords: essential graph
zbMATH Keywords: fractional Bayes factor
zbMATH Keywords: graphical model
describes a project that uses: glasso
describes a project that uses: TETRAD
MaRDI profile type: Publication
cites work: A characterization of Markov equivalence classes for acyclic digraphs
cites work: On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs
cites work: Alternative Markov properties for chain graphs
cites work: Optimal predictive model selection.
cites work: Criteria for Bayesian model choice with application to variable selection
cites work: The formal definition of reference priors
cites work: The Intrinsic Bayes Factor for Model Selection and Prediction
cites work: Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis
cites work: Extended Bayesian information criteria for model selection with large model spaces
cites work: 10.1162/153244302760200696
cites work: Q5249586
cites work: The whetstone and the alum block: balanced objective Bayesian comparison of nested models for discrete data
cites work: Objective Bayes Factors for Gaussian Directed Acyclic Graphical Models
cites work: Objective Bayes Covariate‐Adjusted Sparse Graphical Model Selection
cites work: Compatibility of prior specifications across linear models
cites work: Probabilistic Networks and Expert Systems
cites work: Some matrix-variate distribution theory: Notational considerations and a Bayesian application
cites work: Hyper Markov laws in the statistical analysis of decomposable graphical models
cites work: Maximum Likelihood Estimation in Gaussian Chain Graph Models under the Alternative Markov Property
cites work: A SINful approach to Gaussian graphical model selection
cites work: Power-expected-posterior priors for variable selection in Gaussian linear models
cites work: Information consistency of the Jeffreys power-expected-posterior prior in Gaussian linear models
cites work: Sparse inverse covariance estimation with the graphical lasso
cites work: Parameter priors for directed acyclic graphical models and the characterization of several probability distributions
cites work: Q5328511
cites work: The size distribution for Markov equivalence classes of acyclic digraph models.
cites work: Q4935984
cites work: Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
cites work: Jointly Interventional and Observational Data: Estimation of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
cites work: Q3096205
cites work: Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs
cites work: Q3174091
cites work: Bayes Factors
cites work: Q3655273
cites work: Q4382293
cites work: Bayesian model averaging and model selection for markov equivalence classes of acyclic digraphs
cites work: Q4378660
cites work: Bayesian Networks in R
cites work: Q4322324
cites work: Q4791993
cites work: Q4496846
cites work: Statistics and causal inference: A review. (With discussion)
cites work: Expected-posterior prior distributions for model selection
cites work: Bayesian thinking, modeling and computation.
cites work: Identifiability of Gaussian structural equation models with equal error variances
cites work: Bayesian Inference of Multiple Gaussian Graphical Models
cites work: Estimating the dimension of a model
cites work: Causation, prediction, and search
cites work: Inference From Intrinsic Bayes’ Procedures Under Model Selection and Uncertainty
OpenAlex ID: W2791586967
Wikidata QID: Q130120738
description: scientific article; zbMATH DE number 6989983