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Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior

, , and . Advances in Neural Information Processing Systems, 15, (2002)

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