| 2008 |
|---|
| 6 | EE | Patrik 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) |
| 2006 |
|---|
| 5 | EE | Patrik O. Hoyer,
Shohei Shimizu,
Aapo Hyvärinen,
Yutaka Kano,
Antti J. Kerminen:
New Permutation Algorithms for Causal Discovery Using ICA.
ICA 2006: 115-122 |
| 4 | EE | Shohei Shimizu,
Aapo Hyvärinen,
Yutaka Kano,
Patrik O. Hoyer,
Antti J. Kerminen:
Testing Significance of Mixing and Demixing Coefficients in ICA.
ICA 2006: 901-908 |
| 3 | EE | Patrik 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 |
| 2 | EE | Patrik 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) |
| 1 | EE | Shohei 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) |
