You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks

17 June 2022

Papers citing "You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks"

5 / 5 papers shown

Title
The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks Manuele Leonelli Jim Q. Smith Sophia K. Wright 15 2 0 05 Jul 2024
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks R. Ballester-Ripoll Manuele Leonelli CML 16 0 0 09 Jun 2024
Finding an $ε$ -close Variation of Parameters in Bayesian Networks Bahar Salmani J. Katoen 16 0 0 17 May 2023
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks R. Ballester-Ripoll Manuele Leonelli 12 6 0 01 Feb 2023
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package Manuele Leonelli R. Ramanathan R. L. Wilkerson 19 10 0 25 Jul 2021