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Shohei Shimizu (Selection)

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27Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPatrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph Ramsey, Gustavo Lacerda, Shohei Shimizu: Causal discovery of linear acyclic models with arbitrary distributions CoRR abs/1206.3260: (2012)
26Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer: Discovery of non-gaussian linear causal models using ICA CoRR abs/1207.1413: (2012)
23Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen: DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. Journal of Machine Learning Research 12: 1225-1248 (2011)
22Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLYasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto: Estimating exogenous variables in data with more variables than observations. Neural Networks 24(8): 875-880 (2011)
20Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLYasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto: Discovery of Exogenous Variables in Data with More Variables Than Observations. ICANN (1) 2010: 67-76
15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAapo Hyvärinen, Kun Zhang, Shohei Shimizu, Patrik O. Hoyer: Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity. Journal of Machine Learning Research 11: 1709-1731 (2010)
14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei Shimizu, Aapo Hyvärinen, Yoshinobu Kawahara: A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model. UAI 2009: 506-513
13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen: Estimation of linear non-Gaussian acyclic models for latent factors. Neurocomputing 72(7-9): 2024-2027 (2009)
12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAapo Hyvärinen, Shohei Shimizu, Patrik O. Hoyer: Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity. ICML 2008: 424-431
11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPatrik 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
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei Shimizu, Aapo Hyvärinen: Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes. ICONIP (1) 2007: 752-761
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPatrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen: New Permutation Algorithms for Causal Discovery Using ICA. ICA 2006: 115-122
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen: Testing Significance of Mixing and Demixing Coefficients in ICA. ICA 2006: 901-908
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAapo Hyvärinen, Shohei Shimizu: A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis. ICANN (2) 2006: 211-220
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei 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)
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei 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)
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLShohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer: Discovery of Non-gaussian Linear Causal Models using ICA. UAI 2005: 525-533

Selection of 17 from 28 records - Shohei Shimizu has 21 coauthors

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