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» Latent Variable Models for Causal Knowledge Acquisition
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CICLING
2007
Springer
13 years 11 months ago
Latent Variable Models for Causal Knowledge Acquisition
Takashi Inui, Hiroya Takamura, Manabu Okumura
JMLR
2010
157views more  JMLR 2010»
12 years 11 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
UAI
1993
13 years 6 months ago
Causal Independence for Knowledge Acquisition and Inference
I introduce a temporal belief-network representation of causal independence that a knowledge engineer can use to elicit probabilistic models. Like the current, atemporal belief-ne...
David Heckerman
JMLR
2010
194views more  JMLR 2010»
12 years 11 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
CORR
2006
Springer
144views Education» more  CORR 2006»
13 years 4 months ago
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
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...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen