Centrality and shape-related comparisons in a tree-structured Markov random field Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2410.20240
Understanding the effects of the choice of the tree on the joint distribution of a tree-structured Markov random field (MRF) is crucial for fully exploiting the intelligibility of such probabilistic graphical models. Tools must be developed in this regard: this is the overarching objective of this paper. Our discussion is two-fold. First, we examine concepts specific to network centrality theory. We put forth a new conception of centrality for MRFs that not only accounts for the tree topology, but also the underlying stochastic dynamics. In this vein, we compare synecdochic pairs, random vectors comprising a MRF's component and its sum, using stochastic orders. The resulting orderings are transferred to risk-allocation quantities, which therefore serve as new centrality indices tailored to our stochastic framework. Second, we shed light on the influence of the tree's shapes, by establishing convex orderings for MRFs encrypted on trees of different shapes. This results in the design of a new partial order on tree shapes. This analysis is done within the framework of a propagation-based family of tree-structured MRFs with the uncommon property of having fixed Poisson marginal distributions unaffected by the dependence scheme. This work is a first step into the analysis of MRFs' trees' shapes and a stepping stone to extending this analysis to a broader framework.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2410.20240
- https://arxiv.org/pdf/2410.20240
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404313856
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404313856Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2410.20240Digital Object Identifier
- Title
-
Centrality and shape-related comparisons in a tree-structured Markov random fieldWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-26Full publication date if available
- Authors
-
B. M. Cote, Hélène Cossette, Étienne MarceauList of authors in order
- Landing page
-
https://arxiv.org/abs/2410.20240Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2410.20240Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2410.20240Direct OA link when available
- Concepts
-
Centrality, Markov chain, Tree (set theory), Field (mathematics), Topology (electrical circuits), Computer science, Mathematics, Statistical physics, Statistics, Physics, Combinatorics, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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