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JMLR
2012
11 years 7 months ago
Statistical test for consistent estimation of causal effects in linear non-Gaussian models
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...
Doris Entner, Patrik O. Hoyer, Peter Spirtes
ICML
2008
IEEE
14 years 5 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...
JMLR
2010
166views more  JMLR 2010»
12 years 11 months ago
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models
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...
Aapo Hyvärinen
IJAR
2008
155views more  IJAR 2008»
13 years 4 months ago
Estimation of causal effects using linear non-Gaussian causal models with hidden variables
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...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen...
JMLR
2006
125views more  JMLR 2006»
13 years 4 months ago
A Linear Non-Gaussian Acyclic Model for Causal Discovery
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 ...
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärin...