Fetching the paper…
Reading the bibliography…
While feedback loops are known to play important roles in many complex systems, their existence is ignored in a large part of the causal discovery literature, as systems are typically assumed to be acyclic from the outset.
Correlation and causation
Wright, S. (1921) · 1921
Earlier work this paper cites.
A constraint propagation approach to probabilistic reasoning
Pearl, J. (1986) · 1986
Earlier work this paper cites.
Equivalence of causal models with latent variables
Spirtes, P. and Verma, T. (1992) · 1992
Earlier work this paper cites.
Conditional independence in directed cyclic graphical models for feedback
Spirtes, P. (1994) · 1994
Earlier work this paper cites.
Directed cyclic graphical representations of feedback models
Spirtes, P. (1995) · 1995
Earlier work this paper cites.
Causal inference in the presence of latent variables and selection bias
Spirtes, P., Meek, C., and Richardson, T. S. (1995) · 1995
Earlier work this paper cites.
A simple constraint-based algorithm for efficiently mining observational databases for causal relationships
Cooper, G. F. (1997) · 1997
Earlier work this paper cites.
Automated discovery of linear feedback models
Richardson, T. and Spirtes, P. (1999) · 1999
Earlier work this paper cites.
An algorithm for causal inference in the presence of latent variables and selection bias
Spirtes, P., Meek, C., and Richardson, T. S. (1999) · 1999
Earlier work this paper cites.
Causation, Prediction, and Search
Spirtes, P., Glymour, C., and Scheines, R. (2000) · 2000
Earlier work this paper cites.
Ancestral graph Markov models
Richardson, T. S. and Spirtes, P. (2002) · 2002
Earlier work this paper cites.
Towards characterizing Markov equivalence classes for directed acyclic graphs with latent variables
Ali, R. A., Richardson, T. S., Spirtes, P., and Zhang, J. (2005) · 2005
Cited alongside, same era.
A Bayesian Local Causal Discovery Framework
Mani, S. (2006) · 2006
Cited alongside, same era.
Causal Inference and Reasoning in Causally Insufficient Systems
Zhang, J. (2006) · 2006
Cited alongside, same era.
Discovering cyclic causal models by independent components analysis
Lacerda, G., Spirtes, P., Ramsey, J., and Hoyer, P. O. (2008) · 2008
Cited alongside, same era.
Markov equivalence for ancestral graphs
Ali, R. A., Richardson, T. S., and Spirtes, P. (2009) · 2009
Cited alongside, same era.
Causality: Models, Reasoning and Inference
Pearl, J. (2009) · 2009
Cited alongside, same era.
Constraint-based causal discovery: Conflict resolution with answer set programming
Hyttinen, A., Eberhardt, F., and Järvisalo, M. (2014) · 2014
Later among the works it cites.
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Rothenhäusler, D., Heinze, C., Peters, J., and Meinshausen, N. (2015) · 2015
Later among the works it cites.
Causal inference using invariant prediction: identification and confidence intervals
Peters, J., Bühlmann, P., and Meinshausen, N. (2016) · 2016
Later among the works it cites.
Marginal causal consistency in constraint-based causal learning
Roumpelaki, A., Borboudakis, G., Triantafillou, S., and Tsamardinos, I. (2016) · 2016
Later among the works it cites.
Markov properties for graphical models with cycles and latent variables
Forré, P. and Mooij, J. M. (2017) · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Causal discovery for linear cyclic models with latent variables
Hyttinen, A., Eberhardt, F., and Hoyer, P. (2010) · 2010
Cited alongside, same era.
Tools and algorithms for causally interpreting directed edges in maximal ancestral graphs
Borboudakis, G., Triantafillou, S., and Tsamardinos, I. (2012) · 2012
Cited alongside, same era.
Learning high-dimensional directed acyclic graphs with latent and selection variables
Colombo, D., Maathuis, M. H., Kalisch, M., and Richardson, T. S. (2012) · 2012
Cited alongside, same era.
Learning linear cyclic causal models with latent variables
Hyttinen, A., Eberhardt, F., and Hoyer, P. (2012) · 2012
Cited alongside, same era.
Learning sparse causal models is not NP-hard
Claassen, T., Mooij, J. M., and Heskes, T. (2013) · 2013
Cited alongside, same era.
Causal inference and causal explanation with background knowledge
Meek, C. (1995a)
Cited in the paper.
Bongers, S. and Mooij, J. M. (2018) · 2018
Later among the works it cites.
Constraint-based causal discovery for non-linear structural causal models with cycles and latent confounders
Forré, P. and Mooij, J. M. (2018) · 2018
Later among the works it cites.
A constraint-based algorithm for causal discovery with cycles, latent variables and selection bias
Strobl, E. V. (2018) · 2018
Later among the works it cites.
Foundations of structural causal models with cycles and latent variables
Bongers, S., Forré, P., Peters, J., Schölkopf, B., and Mooij, J. M. (2020) · 2020
Closest in time.
Joint causal inference from multiple contexts
Mooij, J. M., Magliacane, S., and Claassen, T. (2020) · 2020
Closest in time.