20 search results - page 3 / 4 » A Linear Non-Gaussian Acyclic Model for Causal Discovery |
ICA
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
JMLR
2010
13 years 17 days ago
2010
Analysis of causal effects between continuous-valued variables typically uses either autoregressive models or structural equation models with instantaneous effects. Estimation of ...
NIPS
2008
13 years 7 months ago
2008
The discovery of causal relationships between a set of observed variables is a fundamental problem in science. For continuous-valued data linear acyclic causal models with additiv...
PKDD
2009
Springer
14 years 9 days ago
2009
Springer
We consider causally sufficient acyclic causal models in which the relationship among the variables is nonlinear while disturbances have linear effects, and show that three princi...