176 citations · 201 across the 11 of their papers we have counts for
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cs.AI2024
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks
Rafael Ballester-Ripoll, Manuele Leonelli
Traditionally, the sensitivity analysis of a Bayesian network studies the impact of individually modifying the entries of its conditional probability tables in a one-at-a-time (OAT…
cs.AI2022★ 10 cited
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks
Rafael Ballester-Ripoll, Manuele Leonelli
Sensitivity analysis measures the influence of a Bayesian network's parameters on a quantity of interest defined by the network, such as the probability of a variable taking a spec…