Non-Gaussian Methods for Learning Linear Structural Equation Models
نویسندگان
چکیده
Special thanks to Aapo Hyvärinen, Patrik O. Hoyer and Takashi Washio. 2 Abstract • Linear structural equation models (linear SEMs) can be used to model data generating processes of variables. • We review a new approach to learn or estimate linear structural equation models. • The new estimation approach utilizes non-Gaussianity of data for model identification and uniquely estimates much wider variety of models.
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