21 search results - page 1 / 5 » Discovering Cyclic Causal Models by Independent Components A... |
UAI
2008
13 years 6 months ago
2008
We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, conti...
ICML
2007
IEEE
14 years 5 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...
ICONIP
2007
13 years 6 months ago
2007
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
JMLR
2006
13 years 4 months ago
2006
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
PKDD
2009
Springer
13 years 11 months 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...