56 citations · 316 across the 22 of their papers we have counts for
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stat.ML2016
algcomparison: Comparing the Performance of Graphical Structure Learning Algorithms with TETRAD
Joseph D. Ramsey, Daniel Malinsky, Kevin V. Bui
In this report we describe a tool for comparing the performance of graphical causal structure learning algorithms implemented in the TETRAD freeware suite of causal analysis method…
stat.ML2012★ 55 cited
Causal discovery of linear acyclic models with arbitrary distributions
Patrik O. Hoyer, Aapo Hyvarinen, Richard Scheines +4
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used t…