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- W2126275569 abstract "A linear non-Gaussian structural equation model called LiNGAM is an identifiable model for exploratory causal analysis. Previous methods estimate a causal ordering of variables and their connection strengths based on a single dataset. However, in many application domains, data are obtained under different conditions, that is, multiple datasets are obtained rather than a single dataset. In this paper, we present a new method to jointly estimate multiple LiNGAMs under the assumption that the models share a causal ordering but may have different connection strengths and differently distributed variables. In simulations, the new method estimates the models more accurately than estimating them separately." @default.
- W2126275569 created "2016-06-24" @default.
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- W2126275569 date "2012-04-01" @default.
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- W2126275569 title "Joint estimation of linear non-Gaussian acyclic models" @default.
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- W2126275569 doi "https://doi.org/10.1016/j.neucom.2011.11.005" @default.
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