Ancestral graph

In statistics and Markov modeling, an ancestral graph is a type of mixed graph to provide a graphical representation for the result of marginalizing… (More)
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Topic mentions per year

Topic mentions per year

2002-2016
02420022016

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2016
2016
We present an algorithm for estimating bounds on causal effects from observational data which combines graphical model search… (More)
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2013
2013
In the web usage mining process, the techniques of data mining are applied so as to discover the trends and the patterns in the… (More)
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2013
2013
Two models of bias in evolutionary mechanism is presented: one of bias in migration in Wright’s island model and the other of… (More)
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2011
2011
Most of the current methods to assess effective connectivity from functional magnetic resonance imaging (fMRI) rely on the… (More)
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2008
2008
  • Jiji Zhang
  • Journal of Machine Learning Research
  • 2008
Causal reasoning is primarily concerned with what would happen to a system under external interventions. In particular, we are… (More)
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2004
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks… (More)
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2004
2004
Ancestral graph models can encode conditional independence relations that arise in directed acyclic graph (DAG) models with… (More)
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2004
2004
For an ancestral graph with four vertices, we show that the associated binary model exhibits different properties than the… (More)
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2002
2002
This paper introduces a class of graphical independence models that is closed under marginalization and conditioning but that… (More)
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2002
2002
Ancestral graphs provide a class of graphs that can encode conditional independence re­ lations that arise in directed acyclic… (More)
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