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Exact Estimation of Multiple Directed Acyclic Graphs

4 April 2014

Papers citing "Exact Estimation of Multiple Directed Acyclic Graphs"

22 / 22 papers shown

Title
Searching Multiregression Dynamic Models of Resting-State fMRI Networks Using Integer Programming L. Costa Jim Q. Smith Thomas E. Nichols James Cussens E. Duff T. Makin 64 36 0 26 May 2015
Advances in Learning Bayesian Networks of Bounded Treewidth S. Nie Denis Deratani Mauá Cassio Polpo de Campos Q. Ji TPM 161 35 0 05 Jun 2014
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models J. Pensar Henrik J. Nyman T. Koski J. Corander 79 51 0 04 Oct 2013
Advances in Bayesian Network Learning using Integer Programming M. Bartlett James Cussens 86 101 0 26 Sep 2013
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning Diane Oyen T. Lane 49 22 0 09 Jul 2013
Structural Intervention Distance (SID) for Evaluating Causal Graphs J. Peters Peter Buhlmann CML 86 40 0 05 Jun 2013
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 117 3,982 0 27 Feb 2013
Context-Specific Independence in Bayesian Networks Craig Boutilier N. Friedman M. Goldszmidt D. Koller 191 822 0 13 Feb 2013
Learning Mixtures of DAG Models B. Thiesson Christopher Meek D. M. Chickering David Heckerman TPM 409 80 0 30 Jan 2013
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses Po-Ling Loh Martin J. Wainwright 80 180 0 03 Dec 2012
A Bayesian Approach to Constraint Based Causal Inference Tom Claassen Tom Heskes TPM 89 100 0 16 Oct 2012
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs Yangbo He Jinzhu Jia Bin Yu 84 35 0 26 Sep 2012
Fused Multiple Graphical Lasso Sen Yang Zhaosong Lu Xiaotong Shen Peter Wonka Jieping Ye 94 106 0 10 Sep 2012
A simple approach for finding the globally optimal Bayesian network structure T. Silander P. Myllymäki TPM 92 398 0 27 Jun 2012
Identifiability of Gaussian structural equation models with equal error variances J. Peters Peter Buhlmann CML 175 338 0 11 May 2012
Learning a Common Substructure of Multiple Graphical Gaussian Models Satoshi Hara Takashi Washio CML 108 33 0 01 Mar 2012
Bayesian network learning with cutting planes James Cussens 61 258 0 14 Feb 2012
Identifiability of Causal Graphs using Functional Models J. Peters Joris Mooij Dominik Janzing Bernhard Schölkopf 94 155 0 14 Feb 2012
Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs Silvia Acid L. M. D. Campos 157 135 0 30 Jun 2011
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem James G. Scott J. Berger 138 581 0 10 Nov 2010
Stochastic kinetic models: Dynamic independence, modularity and graphs Clive G. Bowsher 93 19 0 19 Oct 2010
Latent variable graphical model selection via convex optimization V. Chandrasekaran P. Parrilo A. Willsky CML 207 509 0 06 Aug 2010