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DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.

, , , , , , , и . J. Mach. Learn. Res., (2011)

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Patrik Roser

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Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity., , и . ICML, том 307 из ACM International Conference Proceeding Series, стр. 424-431. ACM, (2008)Data-driven covariate selection for nonparametric estimation of causal effects., , и . AISTATS, том 31 из JMLR Workshop and Conference Proceedings, стр. 256-264. JMLR.org, (2013)Noisy-OR Models with Latent Confounding., , и . UAI, стр. 363-372. AUAI Press, (2011)Independent subspace analysis shows emergence of phase and shift invariant features from natural images., и . IJCNN, стр. 1059-1064. IEEE, (1999)Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior., и . NIPS, стр. 277-284. MIT Press, (2002)Non-negative Matrix Factorization with Sparseness Constraints. J. Mach. Learn. Res., (2004)Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior, , и . Advances in Neural Information Processing Systems, 15, (2002)Noisy-OR Models with Latent Confounding, , и . CoRR, (2012)Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables., , и . UAI, стр. 387-396. AUAI Press, (2012)DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model., , , , , , , и . J. Mach. Learn. Res., (2011)