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Jointly interventional and observational data: estimation of
  interventional Markov equivalence classes of directed acyclic graphs

Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs

13 March 2013
Alain Hauser
Peter Buhlmann
    CML
ArXiv (abs)PDFHTML

Papers citing "Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs"

9 / 9 papers shown
Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Juan L. Gamella
Armeen Taeb
C. Heinze-Deml
Peter Buhlmann
CML
156
8
0
13 Mar 2025
Cyclic Causal Discovery from Continuous Equilibrium Data
Cyclic Causal Discovery from Continuous Equilibrium Data
Joris Mooij
Tom Heskes
69
82
0
26 Sep 2013
On the Equivalence of Causal Models
On the Equivalence of Causal Models
Thomas Verma
Judea Pearl
102
27
0
27 Mar 2013
Learning Equivalence Classes of Bayesian Networks Structures
Learning Equivalence Classes of Bayesian Networks Structures
D. M. Chickering
101
832
0
13 Feb 2013
Causal Discovery from Changes
Causal Discovery from Changes
Jin Tian
Judea Pearl
CML
116
165
0
10 Jan 2013
On the Number of Experiments Sufficient and in the Worst Case Necessary
  to Identify All Causal Relations Among N Variables
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables
F. Eberhardt
Clark Glymour
R. Scheines
95
155
0
04 Jul 2012
A simple approach for finding the globally optimal Bayesian network
  structure
A simple approach for finding the globally optimal Bayesian network structure
T. Silander
P. Myllymäki
TPM
92
398
0
27 Jun 2012
Identifiability of Causal Graphs using Functional Models
Identifiability of Causal Graphs using Functional Models
J. Peters
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
94
155
0
14 Feb 2012
Characterization and Greedy Learning of Interventional Markov
  Equivalence Classes of Directed Acyclic Graphs
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser
Peter Buhlmann
CML
95
426
0
14 Apr 2011
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