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Causal inference relies on the structure of a graph, often a directed acyclic graph (DAG).
Matrix multiplication via arithmetic progressions
D. Coppersmith and S. Winograd · 1987
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Causal inference and causal explanation with background knowledge
C. Meek · 1995
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Graphical Models
S. Lauritzen · 1996
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A characterization of Markov equivalence classes for acyclic digraphs
S.A. Andersson, D. Madigan, and M.D. Perlman · 1997
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Causation, Prediction, and Search
P. Spirtes, C. Glymour, and R. Scheines · 2000
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Optimal structure identification with greedy search
D.M. Chickering · 2002
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Ancestral graph Markov models
T. Richardson and P. Spirtes · 2002
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Searching for Bayesian network structures in the space of restricted acyclic partially directed graphs
S. Acid and L. M. de Campos · 2003
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Adjacency-faithfulness and conservative causal inference
J. Ramsey, J. Zhang, and P. Spirtes · 2006
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Identification of joint interventional distributions in recursive semi-markovian causal models
I. Shpitser and J. Pearl · 2006
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The max-min hill-climbing Bayesian network structure learning algorithm
I. Tsamardinos, L. E. Brown, and C. F. Aliferis · 2006
Cited alongside, same era.
A comparison of structural distance measures for causal Bayesian network models
M. de Jongh and M. J. Druzdzel · 2009
Cited alongside, same era.
Probabilistic Graphical Models: Principles and Techniques
D. Koller and N. Friedman · 2009
On the validity of covariate adjustment for estimating causal effects (corrected version)
I. Shpitser, T. J. Van der Weele, and J. M. Robins · 2010
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Adjustment criteria in causal diagrams: An algorithmic perspective
J. Textor and M. Liskiewicz · 2011
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Learning high-dimensional directed acyclic graphs with latent and selection variables
D. Colombo, M. Maathuis, M. Kalisch, and T. Richardson · 2012
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Restricted structural equation models for causal inference
J. Peters · 2012
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Learning sparse causal models is not NP-hard
T. Claassen, J. M. Mooij, and T. Heskes · 2013
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A generalized backdoor criterion
M. Maathuis and D. Colombo · 2013
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Cited alongside, same era.
Causality: Models, Reasoning, and Inference
J. Pearl · 2009
Cited alongside, same era.
Identifiability of Gaussian structural equation models with equal error variances
J. Peters and P. Bühlmann · 2014
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