A Transformational Characterization of Equivalent Bayesian Network Structures

20 February 2013

Papers citing "A Transformational Characterization of Equivalent Bayesian Network Structures"

48 / 98 papers shown

Title
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle M. Scutari 16 39 0 02 Aug 2017
Beyond Uniform Priors in Bayesian Network Structure Learning M. Scutari 6 4 0 12 Apr 2017
Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms Liam Solus Yuhao Wang Caroline Uhler CML 19 76 0 12 Feb 2017
Causal inference in partially linear structural equation models Dominik Rothenhausler J. Ernest M. Sugiyama 21 33 0 20 Jul 2016
Generalized Permutohedra from Probabilistic Graphical Models F. Mohammadi Caroline Uhler Charles Wang Josephine Yu 22 22 0 06 Jun 2016
An Empirical-Bayes Score for Discrete Bayesian Networks M. Scutari BDL 17 0 0 12 May 2016
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations D. M. Chickering Christopher Meek 33 27 0 06 Jun 2015
A Greedy, Flexible Algorithm to Learn an Optimal Bayesian Network Structure Amir Arsalan Soltani TPM 35 1 0 24 Nov 2014
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package M. Scutari CML 44 164 0 30 Jun 2014
Parameter identifiability of discrete Bayesian networks with hidden variables E. Allman J. Rhodes E. Stanghellini Marco Valtorta 44 13 0 02 Jun 2014
Structural Markov graph laws for Bayesian model uncertainty Simon Byrne Philip Dawid 42 19 0 22 Mar 2014
Parameterized Complexity Results for Exact Bayesian Network Structure Learning S. Ordyniak Stefan Szeider 38 64 0 04 Feb 2014
Learning Bayesian Network Equivalence Classes with Ant Colony Optimization Rónán Daly Q. Shen 55 70 0 15 Jan 2014
High-dimensional learning of linear causal networks via inverse covariance estimation Po-Ling Loh Peter Buhlmann CML 51 189 0 14 Nov 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 47 512 0 26 Sep 2013
Supplement to "Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs" Yangbo He Jinzhu Jia Bin Yu 29 2 0 04 Mar 2013
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 38 3,969 0 27 Feb 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 213 626 0 20 Feb 2013
Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains David Heckerman D. Geiger 54 177 0 20 Feb 2013
Learning Equivalence Classes of Bayesian Networks Structures D. M. Chickering 42 829 0 13 Feb 2013
On the Semi-Markov Equivalence of Causal Models B. Desjardins 49 0 0 30 Jan 2013
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm N. Friedman I. Nachman D. Pe’er 50 652 0 23 Jan 2013
Data Analysis with Bayesian Networks: A Bootstrap Approach N. Friedman M. Goldszmidt A. Wyner TPM 47 377 0 23 Jan 2013
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data D. Dash Marek J Druzdzel CML 47 108 0 23 Jan 2013
On the Use of Skeletons when Learning in Bayesian Networks Harald Steck CML 51 26 0 16 Jan 2013
Improved learning of Bayesian networks Tomas Kocka R. Castelo 44 48 0 10 Jan 2013
On characterizing Inclusion of Bayesian Networks Tomas Kocka R. Bouckaert M. Studený 56 23 0 10 Jan 2013
Enumerating Markov Equivalence Classes of Acyclic Digraph Models S. Gillispie M. Perlman 60 102 0 10 Jan 2013
Finding Optimal Bayesian Networks D. M. Chickering Christopher Meek TPM 38 152 0 12 Dec 2012
Markov Equivalence Classes for Maximal Ancestral Graphs Ayesha R. Ali Thomas S. Richardson 50 11 0 12 Dec 2012
On Local Optima in Learning Bayesian Networks J. Nielsen Tomas Kocka J. Peña 45 55 0 19 Oct 2012
Large-Sample Learning of Bayesian Networks is NP-Hard D. M. Chickering Christopher Meek David Heckerman BDL 43 789 0 19 Oct 2012
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs Yangbo He Jinzhu Jia Bin Yu 51 35 0 26 Sep 2012
On Finding Optimal Polytrees Serge Gaspers Mikko Koivisto M. Liedloff S. Ordyniak Stefan Szeider TPM 52 11 0 08 Aug 2012
Generating Markov Equivalent Maximal Ancestral Graphs by Single Edge Replacement Jin Tian 47 12 0 04 Jul 2012
A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables Jiji Zhang Peter Spirtes 60 29 0 04 Jul 2012
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables Ayesha R. Ali Thomas S. Richardson Peter Spirtes Jiji Zhang CML 48 42 0 04 Jul 2012
A simple approach for finding the globally optimal Bayesian network structure T. Silander P. Myllymäki TPM 44 395 0 27 Jun 2012
A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables Jiji Zhang 64 17 0 20 Jun 2012
Identifiability of Gaussian structural equation models with equal error variances J. Peters Peter Buhlmann CML 60 331 0 11 May 2012
Algorithms and Complexity Results for Exact Bayesian Structure Learning S. Ordyniak Stefan Szeider CML 70 16 0 15 Mar 2012
On the Prior and Posterior Distributions Used in Graphical Modelling M. Scutari 68 30 0 19 Jan 2012
Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs Silvia Acid L. M. D. Campos 63 132 0 30 Jun 2011
On Identifying Significant Edges in Graphical Models of Molecular Networks M. Scutari R. Nagarajan 55 167 0 05 Apr 2011
Finding Consensus Bayesian Network Structures J. Peña 46 35 0 10 Jan 2011
Introduction to Graphical Modelling M. Scutari K. Strimmer 84 10 0 06 May 2010
Learning Bayesian Networks with the bnlearn R Package M. Scutari BDL 106 1,711 0 26 Aug 2009
Markov equivalence for ancestral graphs R. A. Ali Thomas S. Richardson Peter Spirtes 102 111 0 25 Aug 2009