Model Uncertainty and Correctability for Directed Graphical Models

DOI10.1137/21M1434453zbMath1498.62112arXiv2107.08179OpenAlexW3183923971MaRDI QIDQ5052911

Jinchao Feng, P. Birmpa, Markos A. Katsoulakis, Luc Rey-Bellet

Publication date: 25 November 2022

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.08179

zbMATH Keywords

Bayesian networkssensitivity analysisinformation inequalitiesuncertainty quantificationstress testscorrectability

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Sensitivity (robustness) (93B35) Reasoning under uncertainty in the context of artificial intelligence (68T37) Chemical kinetics in thermodynamics and heat transfer (80A30) Measures of information, entropy (94A17) Probabilistic graphical models (62H22)

Uses Software

• BAYES-NEAREST
• ROME
• TETRAD

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