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» Causation and Causal Conditionals
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JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Beware of the DAG!
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
A. Philip Dawid
ICANN
2007
Springer
14 years 1 months ago
Information Theoretic Derivations for Causality Detection: Application to Human Gait
As a causality criterion we propose the conditional relative entropy. The relationship with information theoretic functionals mutual information and entropy is established. The con...
Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hu...
UAI
1994
13 years 8 months ago
A New Look at Causal Independence
Heckerman (1993) defined causal independence in terms of a set of temporal conditional independence statements. These statements formalized certain types of causal interaction whe...
David Heckerman, John S. Breese
CORR
2012
Springer
184views Education» more  CORR 2012»
12 years 3 months ago
Noisy-OR Models with Latent Confounding
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting late...
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoy...
CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 7 months ago
Defaults and Normality in Causal Structures
A serious defect with the Halpern-Pearl (HP) definition of causality is repaired by combining a theory of causality with a theory of defaults. In addition, it is shown that (despi...
Joseph Y. Halpern