Identification of Strong Edges in AMP Chain Graphs

November 23, 2017 ยท The Ethereal ยท ๐Ÿ› Conference on Uncertainty in Artificial Intelligence

๐Ÿ”ฎ THE ETHEREAL: The Ethereal
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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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