20 search results - page 2 / 4 » A Linear Non-Gaussian Acyclic Model for Causal Discovery |
IJAR
2008
13 years 7 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...
JMLR
2012
11 years 10 months ago
2012
This document contains supplementary material to the article ‘Statistical test for consistent estimation of causal effects in linear non-Gaussian models’, AISTATS 2012. A tabl...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
UAI
2008
13 years 8 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...