The YODO algorithm: an efficient computational framework for sensitivity analysis in Bayesian networks

DOI10.1016/j.ijar.2023.108929arXiv2302.00364OpenAlexW4368371701MaRDI QIDQ6116525

Manuele Leonelli, Rafael Ballester-Ripoll

Publication date: 18 July 2023

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2302.00364

zbMATH Keywords

Bayesian networkssensitivity analysisautomatic differentiationCOVID-19

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

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