Discovering Cyclic Causal Models by Independent Components Analysis

Discovering Cyclic Causal Models by Independent Components Analysis (2008)

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by Gustavo Lacerda , Peter Spirtes , Joseph Ramsey , Patrik O. Hoyer

Venue:	UNCERTAINTY IN ARTIFICIAL INTELLIGENCE
Citations:	10 - 2 self

BibTeX

@MISC{Lacerda08discoveringcyclic,
    author = {Gustavo Lacerda and Peter Spirtes and Joseph Ramsey and Patrik O. Hoyer},
    title = {Discovering Cyclic Causal Models by Independent Components Analysis },
    year = {2008}
}

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Abstract

Citations

1034	Independent component analysis, a new concept - Comon - 1994
766	Causality: Models, Reasoning, and Inference - Pearl
510	The hungarian method for the assignment problem - Kuhn - 1955
452	Structural Equations with Latent Variables - Bollen - 1989
131	Causal diagrams for empirical research - Pearl - 1995
27	A correspondence principle for simultaneous equation models - Fisher - 1970
20	A discovery algorithm for directed cyclic graphs - Richardson - 1996
14	Erkki O (2001) Independent Component Analysis - Hyvärinen, Karhunen
11	Algorithms for finding k-best perfect matchings. Discrete Applied Mathematics 18:155–165 - Chegireddy, Hamacher - 1987
5	A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models - Richardson - 1996
5	Causal discovery of linear acyclic models with arbitrary distributions - Hoyer, Hyvärinen, et al. - 2008
4	Kerminen (2006). A linear non-gaussian acyclic model for causal discovery - Shimizu, Hoyer, et al.
4	Restructuring dynamic causal systems in equilibrium - Dash - 2005
2	Kerminen (2006) - Estimation of linear, non-gaussian causal models in the presence of confounding latent variables - Hoyer, Shimizu, et al.