backShift: Learning causal cyclic graphs from unknown shift
interventions

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backShift: Learning causal cyclic graphs from unknown shift interventions

8 June 2015

Dominik Rothenhäusler

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Papers citing "backShift: Learning causal cyclic graphs from unknown shift interventions"

6 / 6 papers shown

Title
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 122 973 0 06 Jan 2015
Cyclic Causal Discovery from Continuous Equilibrium Data Joris Mooij Tom Heskes 72 82 0 26 Sep 2013
Causal Discovery from Changes Jin Tian Judea Pearl CML 118 165 0 10 Jan 2013
Discovering Cyclic Causal Models by Independent Components Analysis Gustavo Lacerda Peter Spirtes Joseph Ramsey P. Hoyer CML 110 188 0 13 Jun 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 98 426 0 14 Apr 2011
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model Shohei Shimizu Takanori Inazumi Yasuhiro Sogawa Aapo Hyvarinen Yoshinobu Kawahara Takashi Washio P. Hoyer K. Bollen CML 102 511 0 13 Jan 2011