11 search results - page 1 / 3 » Estimation of linear, non-gaussian causal models in the pres... |
IJAR
2008
13 years 4 months ago
2008
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fiel...
CORR
2006
Springer
13 years 4 months ago
2006
Springer
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
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
2010
12 years 11 months ago
2010
We present new measures of the causal direction between two non-gaussian random variables. They are based on the likelihood ratio under the linear non-gaussian acyclic model (LiNG...
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 ...