ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders
نویسندگان
چکیده
منابع مشابه
ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders
We consider learning a causal ordering of variables in a linear nongaussian acyclic model called LiNGAM. Several methods have been shown to consistently estimate a causal ordering assuming that all the model assumptions are correct. But the estimation results could be distorted if some assumptions are violated. In this letter, we propose a new algorithm for learning causal orders that is robust...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2014
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_00533