Minimum uncertainty as Bayesian network model selection principle
The new BN model selection principle successfully overcomes performance irregularities observed with MDL, offers a superior average convergence rate in BN reconstruction, and improves the interpretability and universality of resulting BNs, thus enabling direct inter-BN comparisons and evaluations.
Authors
- Andréi S. Rodin (ORCID: https://orcid.org/0000-0002-2570-0332)
- Grigoriy Gogoshin (ORCID: https://orcid.org/0000-0003-0675-1799)
Institutions
- City Of Hope National Medical Center (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1186/s12859-025-06104-5
- Citations
- 6
- Primary Topic
- Bayesian Modeling and Causal Inference
- Type
- article
- Field-Weighted Citation Impact
- 14.89
Funders
- National Institutes of Health
- National Cancer Institute