Estimation of causal effects using linear non-Gaussian causal models with hidden variables
- 1 October 2008
- journal article
- Published by Elsevier BV in International Journal of Approximate Reasoning
- Vol. 49 (2), 362-378
- https://doi.org/10.1016/j.ijar.2008.02.006
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- Identifiability, Separability, and Uniqueness of Linear ICA ModelsIEEE Signal Processing Letters, 2004
- Maximum likelihood for blind separation and deconvolution of noisy signals using mixture modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature SubspacesNeural Computation, 2000
- Learning Overcomplete RepresentationsNeural Computation, 2000
- Independent Factor AnalysisNeural Computation, 1999
- Independent component analysis, A new concept?Signal Processing, 1994
- Investigating Causal Relations by Econometric Models and Cross-spectral MethodsEconometrica, 1969