36 citations · 128 across the 18 of their papers we have counts for
Showing 2012 · stat.MLShow all
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stat.ML2012
Estimation of causal orders in a linear non-Gaussian acyclic model: a method robust against latent confounders
Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvarinen +1
We consider to learn a causal ordering of variables in a linear non-Gaussian acyclic model called LiNGAM. Several existing methods have been shown to consistently estimate a causal…
stat.ML2012★ 1 cited
Learning a Common Substructure of Multiple Graphical Gaussian Models
Satoshi Hara, Takashi Washio
Properties of data are frequently seen to vary depending on the sampled situations, which usually changes along a time evolution or owing to environmental effects. One way to analy…