清水昌平研究業績一覧 | T2R2 東京科学大学リサーチリポジトリ

清水昌平研究業績一覧 (11件)

Shohei Shimizu, Yutaka Kano. Use of non-normality in structural equation modeling: Application to direction of causation, Journal of Statistical Planning and Inference, Vol. 138, pp. 3483-3491, Nov. 2008.
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen, Markus Palviainen. Estimation of causal effects using linear non-gaussian causal models with hidden variables, International Journal of Approximate Reasoning, Vol. 49, No. 2, pp. 362-378, Oct. 2008.

Shohei Shimizu, Aapo Hyv?rinen, Yoshinobu Kawahara, Takashi Washio. A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model, The 25th Conf. on Uncertainty in Artificial Intelligence (UAI 09), Proc. of the 25th Conf. on Uncertainty in Artificial Intelligence (UAI 09), pp. 506-513, 2009.
Aapo Hyvarinen, Shohei Shimizu, Patrik O. Hoyer. Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity, International Conference on Machine Learning (ICML 2008), Proceedings of International Conference on Machine Learning (ICML 2008), pp. 424-431, July 2008.
Patrik O. Hoyer, Aapo Hyvarinen, Richard Scheines, Peter Spirtes, Joseph Ramsey, Gustavo Lacerda, Shohei Shimizu. Causal discovery of linear acyclic models with arbitrary distributions, 24th Conf. on Uncertainty in Artificial Intelligence (UAI 2008), Proceedings of 24th Conf. on Uncertainty in Artificial Intelligence (UAI 2008), pp. 282-289, July 2008.
Shohei Shimizu, Aapo Hyvarinen. Discovery of linear non-gaussian acyclic models in the presence of latent classes, Proceedings of 14th International Conference on Neural Information Processing (ICONIP 2007), Lecture Notes in Computer Science, Vol. 4984, pp. 752-761, June 2008.

Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvarinen. Linear non-Gaussian structural equation models, IMPS 2008, the 73rd Annual Meeting of the Psychometric Society, June 2008.