Distributional Equivalence and Structure Learning for Bow-free Acyclic
Path Diagrams

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Distributional Equivalence and Structure Learning for Bow-free Acyclic Path Diagrams

7 August 2015

Christopher Nowzohour

Marloes H. Maathuis

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Papers citing "Distributional Equivalence and Structure Learning for Bow-free Acyclic Path Diagrams"

12 / 12 papers shown

Title
Graphs for margins of Bayesian networks R. Evans CML UQCV 77 92 0 08 Aug 2014
A factorization criterion for acyclic directed mixed graphs Thomas S. Richardson 61 46 0 26 Jun 2014
Learning Sparse Causal Models is not NP-hard Tom Claassen Joris Mooij Tom Heskes CML 85 120 0 26 Sep 2013
On the causal interpretation of acyclic mixed graphs under multivariate normality C. Fox Andreas Kaufl Mathias Drton CML 99 10 0 16 Aug 2013
Parameter and Structure Learning in Nested Markov Models I. Shpitser Thomas S. Richardson J. M. Robins R. Evans CML 88 22 0 20 Jul 2012
A simple approach for finding the globally optimal Bayesian network structure T. Silander P. Myllymäki TPM 92 398 0 27 Jun 2012
Bayesian Inference for Gaussian Mixed Graph Models Ricardo M. A. Silva Zoubin Ghahramani 58 16 0 27 Jun 2012
Uniform random generation of large acyclic digraphs Jack Kuipers G. Moffa 66 24 0 29 Feb 2012
Half-trek criterion for generic identifiability of linear structural equation models Rina Foygel J. Draisma Mathias Drton CML 117 83 0 27 Jul 2011
Learning high-dimensional directed acyclic graphs with latent and selection variables Diego Colombo Marloes H. Maathuis M. Kalisch Thomas S. Richardson CML 126 466 0 29 Apr 2011
Global identifiability of linear structural equation models Mathias Drton Rina Foygel S. Sullivant 117 89 0 04 Mar 2010
Markov equivalence for ancestral graphs R. A. Ali Thomas S. Richardson Peter Spirtes 156 112 0 25 Aug 2009