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The Ethereal
Identification of Strong Edges in AMP Chain Graphs
November 23, 2017 ยท The Ethereal ยท ๐ Conference on Uncertainty in Artificial Intelligence
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Authors
Jose M. Peรฑa
arXiv ID
1711.09990
Category
math.CO: Combinatorics
Cross-listed
cs.AI
Citations
4
Venue
Conference on Uncertainty in Artificial Intelligence
Last Checked
1 month ago
Abstract
The essential graph is a distinguished member of a Markov equivalence class of AMP chain graphs. However, the directed edges in the essential graph are not necessarily strong or invariant, i.e. they may not be shared by every member of the equivalence class. Likewise for the undirected edges. In this paper, we develop a procedure for identifying which edges in an essential graph are strong. We also show how this makes it possible to bound some causal effects when the true chain graph is unknown.
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