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A geometric characterisation of sensitivity analysis in monomial models
v1v2 (latest)

A geometric characterisation of sensitivity analysis in monomial models

18 December 2018
Manuele Leonelli
Eva Riccomagno
ArXiv (abs)PDFHTML

Papers citing "A geometric characterisation of sensitivity analysis in monomial models"

6 / 6 papers shown
Title
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks
R. Ballester-Ripoll
Manuele Leonelli
CML
69
2
0
09 Jun 2024
The YODO algorithm: An efficient computational framework for sensitivity
  analysis in Bayesian networks
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks
R. Ballester-Ripoll
Manuele Leonelli
59
7
0
01 Feb 2023
You Only Derive Once (YODO): Automatic Differentiation for Efficient
  Sensitivity Analysis in Bayesian Networks
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks
R. Ballester-Ripoll
Manuele Leonelli
51
8
0
17 Jun 2022
Global sensitivity analysis in probabilistic graphical models
Global sensitivity analysis in probabilistic graphical models
R. Ballester-Ripoll
Manuele Leonelli
56
1
0
07 Oct 2021
Sensitivity and robustness analysis in Bayesian networks with the
  bnmonitor R package
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
Manuele Leonelli
R. Ramanathan
R. L. Wilkerson
54
12
0
25 Jul 2021
Model-Preserving Sensitivity Analysis for Families of Gaussian
  Distributions
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions
Christiane Görgen
Manuele Leonelli
OOD
32
5
0
27 Sep 2018
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