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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
Wikipedia

## Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
• Artif. Intell.
• 2019
• Corpus ID: 3669467
Abstract Principled reasoning about the identifiability of causal effects from non-experimental data is an important application… Expand
2018
2018
• ICCS
• 2018
• Corpus ID: 49194107
Probabilistic models involving relational and temporal aspects need exact and efficient inference algorithms. Existing approaches… Expand
2018
2018
• ArXiv
• 2018
• Corpus ID: 49573850
The lifted dynamic junction tree algorithm (LDJT) efficiently answers filtering and prediction queries for probabilistic… Expand
2018
2018
• 2018
• Corpus ID: 88516222
Symmetric independence relations are often studied using graphical representations. Ancestral graphs or acyclic directed mixed… Expand
2017
2017
• Comput. Intell.
• 2017
• Corpus ID: 43664851
We suggest Darwinian Networks (DNs) as a simplification of working with Bayesian networks (BNs). DNs adapt a handful of well… Expand
2016
2016
• 2016
• Corpus ID: 34350351
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
Highly Cited
2014
Highly Cited
2014
• 2014
• Corpus ID: 27156277
In this paper, we unify the Markov theory of a variety of different types of graphs used in graphical Markov models by… Expand
2014
2014
• 2014
• Corpus ID: 88518829
Acyclic directed mixed graphs (ADMGs) are graphs that contain directed ($\rightarrow$) and bidirected ($\leftrightarrow$) edges… Expand
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