Causal graph

Known as: Causal Graphs 
In statistics, econometrics, epidemiology, genetics and related disciplines, causal graphs (also known as path diagrams, causal Bayesian networks or… (More)
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Topic mentions per year

Topic mentions per year

1995-2017
024619952017

Papers overview

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2015
2015
Causal inference relies on the structure of a graph, often a directed acyclic graph (DAG). Different graphs may result in… (More)
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2015
2015
We consider the problem of learning causal networks with interventions, when each intervention is limited in size under Pearl’s… (More)
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2013
2013
Among the different methods producing superpixel segmentations of an image, the graph-based approach of Felzenszwalb and… (More)
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2013
2013
Causal graph dynamics are transformations over graphs that capture two important symmetries of physics, namely causality and… (More)
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2012
2012
We extend the theory of Cellular Automata to arbitrary, time-varying graphs. In other words we formalize, and prove theorems… (More)
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2011
2011
This work addresses the following question: Under what assumptions on the data generating process can one infer the causal graph… (More)
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2009
2009
Accurate modeling mechanisms play an important role in model-based diagnosis, and the bond graph modeling language has proved to… (More)
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2008
2008
The causal graph is a directed graph that describes the variable dependencies present in a planning instance. A number of papers… (More)
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2008
2008
We present three new complexity results for classes of planning problems with simple causal graphs. First, we describe a… (More)
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1996
1996
We show that the d-separation criterion constitutes a valid test for conditional independence relationships that are induced by… (More)
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