The curved exponential family of a staged tree
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Abstract (arXiv)
Staged tree models are a discrete generalization of Bayesian networks. We show that these form curved exponential families and derive their natural parameters, sufficient statistic, and cumulant-generating function as functions of their graphical representation. We give necessary and sufficient graphical criteria for classifying regular subfamilies and discuss implications for model selection.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Oct 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 2; 2025: 1; 2026: 1.
9 papers.
- 2021Context-Specific Causal Discovery for Categorical Data Using Staged Treescited by 10
- 2021Staged trees and asymmetry-labeled DAGscited by 8
- 2022Structural Learning of Simple Staged Treescited by 7
- 2022Highly Efficient Structural Learning of Sparse Staged Treescited by 6
- 2023Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fearcited by 2
- 2024Learning Staged Trees from Incomplete Datacited by 1
- 2024Context-Specific Refinements of Bayesian Network Classifierscited by 0
- 2025Staged Event Trees for Transparent Treatment Effect Estimationcited by 0
- 2026Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplexcited by 0
- 2026Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplex16 Mar 2026
- 2025Staged Event Trees for Transparent Treatment Effect Estimation30 Sep 2025
- 2024Learning Staged Trees from Incomplete Data28 May 2024
- 2024Context-Specific Refinements of Bayesian Network Classifiers28 May 2024
- 2023Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear2 Jan 2023
- 2022Highly Efficient Structural Learning of Sparse Staged Trees14 Jun 2022
- 2022Structural Learning of Simple Staged Trees8 Mar 2022
- 2021Staged trees and asymmetry-labeled DAGs4 Aug 2021
- 2021Context-Specific Causal Discovery for Categorical Data Using Staged Trees8 Jun 2021