244 citations · 964 across the 44 of their papers we have counts for
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stat.ML2013
Bridging Information Criteria and Parameter Shrinkage for Model Selection
Kun Zhang, Heng Peng, Laiwan Chan +1
Model selection based on classical information criteria, such as BIC, is generally computationally demanding, but its properties are well studied. On the other hand, model selectio…
stat.ML2013★ 1 cited
ParceLiNGAM: A causal ordering method robust against latent confounders
Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvarinen +1
We consider learning 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…