most citedEstimation of linear, non-gaussian causal models in the presence of confounding latent variables

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

cs.AI2006★ 14 cited

Estimation of linear, non-gaussian causal models in the presence of confounding latent variables

Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen

The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wor…