23 citations · 39 across the 3 of their papers we have counts for
3 papers
A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model
Shohei Shimizu, Aapo Hyvarinen, Yoshinobu Kawahara
Structural equation models and Bayesian networks have been widely used to analyze causal relations between continuous variables. In such frameworks, linear acyclic models are typic…
Discovering causal structures in binary exclusive-or skew acyclic models
Takanori Inazumi, Takashi Washio, Shohei Shimizu +3
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to discove…
GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables
Yoshinobu Kawahara, Kenneth Bollen, Shohei Shimizu +1
Finding the structure of a graphical model has been received much attention in many fields. Recently, it is reported that the non-Gaussianity of data enables us to identify the str…