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M-separation

In statistics, m-separation is a measure of disconnectedness in ancestral graphs and a generalization of d-separation for directed acyclic graphs. It… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Abstract Principled reasoning about the identifiability of causal effects from non-experimental data is an important application… Expand
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2018
2018
Probabilistic models involving relational and temporal aspects need exact and efficient inference algorithms. Existing approaches… Expand
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2018
2018
The lifted dynamic junction tree algorithm (LDJT) efficiently answers filtering and prediction queries for probabilistic… Expand
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2018
2018
Symmetric independence relations are often studied using graphical representations. Ancestral graphs or acyclic directed mixed… Expand
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2017
2017
We suggest Darwinian Networks (DNs) as a simplification of working with Bayesian networks (BNs). DNs adapt a handful of well… Expand
2016
2016
Testing independencies is a fundamental task in reasoning with Bayesian networks BNs. In practice, d-separation is often utilized… Expand
2015
2015
Darwinian networks (DNs) are introduced to simplify and clarify working with Bayesian networks (BNs). Rather than modelling the… Expand
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Highly Cited
2014
Highly Cited
2014
In this paper, we unify the Markov theory of a variety of different types of graphs used in graphical Markov models by… Expand
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2014
2014
Acyclic directed mixed graphs (ADMGs) are graphs that contain directed ($\rightarrow$) and bidirected ($\leftrightarrow$) edges… Expand
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Highly Cited
2003
Highly Cited
2003
We consider acycfic directed mixed graphs, in which directed edges (x->y) and bi-directed edges (x 4-+ y) may occur. A simple… Expand
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