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Shohei Shimizu

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2009
13EEShohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen: Estimation of linear non-Gaussian acyclic models for latent factors. Neurocomputing 72(7-9): 2024-2027 (2009)
2008
12EEAapo Hyvärinen, Shohei Shimizu, Patrik O. Hoyer: Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity. ICML 2008: 424-431
11EEPatrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph Ramsey, Gustavo Lacerda, Shohei Shimizu: Causal discovery of linear acyclic models with arbitrary distributions. UAI 2008: 282-289
10EEPatrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen, Markus Palviainen: Estimation of causal effects using linear non-Gaussian causal models with hidden variables. Int. J. Approx. Reasoning 49(2): 362-378 (2008)
2007
9EEShohei Shimizu, Aapo Hyvärinen: Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes. ICONIP (1) 2007: 752-761
2006
8EEPatrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen: New Permutation Algorithms for Causal Discovery Using ICA. ICA 2006: 115-122
7EEShohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen: Testing Significance of Mixing and Demixing Coefficients in ICA. ICA 2006: 901-908
6EEAapo Hyvärinen, Shohei Shimizu: A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis. ICANN (2) 2006: 211-220
5EEPatrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen: Estimation of linear, non-gaussian causal models in the presence of confounding latent variables. Probabilistic Graphical Models 2006: 155-162
4EEPatrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen: Estimation of linear, non-gaussian causal models in the presence of confounding latent variables CoRR abs/cs/0603038: (2006)
3EEShohei Shimizu, Aapo Hyvärinen, Patrik O. Hoyer, Yutaka Kano: Finding a causal ordering via independent component analysis. Computational Statistics & Data Analysis 50(11): 3278-3293 (2006)
2EEShohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen, Antti J. Kerminen: A Linear Non-Gaussian Acyclic Model for Causal Discovery. Journal of Machine Learning Research 7: 2003-2030 (2006)
2005
1EEShohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer: Discovery of Non-gaussian Linear Causal Models using ICA. UAI 2005: 525-533

Coauthor Index

1Patrik O. Hoyer [1] [2] [3] [4] [5] [7] [8] [10] [11] [12] [13]
2Aapo Hyvärinen [1] [2] [3] [6] [7] [8] [9] [11] [12] [13]
3Yutaka Kano [1] [3] [7] [8]
4Antti J. Kerminen [2] [4] [5] [7] [8] [10]
5Gustavo Lacerda [11]
6Markus Palviainen [10]
7Joseph Ramsey [11]
8Richard Scheines [11]
9Peter Spirtes [11]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)