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» A New Look at Causal Independence
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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»
13 years 8 days 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
2012
Springer
188views Education» more  CORR 2012»
12 years 1 months ago
A Logical Characterization of Constraint-Based Causal Discovery
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
Tom Claassen, Tom Heskes
JMLR
2008
144views more  JMLR 2008»
13 years 5 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
CSMR
2008
IEEE
13 years 12 months ago
How Lisp Systems Look Different
Many reverse engineering approaches have been developed to analyze software systems written in different languages like C/C++ or Java. These approaches typically rely on a meta-mo...
Adrian Dozsa, Tudor Gîrba, Radu Marinescu