343 citations · 1.1k across the 19 of their papers we have counts for
19 papers
Mind the hubris: complexity can misfire
Arnald Puy, Andrea Saltelli
Here we briefly reflect on the philosophical foundations that ground the quest towards ever-detailed models and identify four practical dangers derived from this pursuit: explosion…
Discrepancy measures for sensitivity analysis
Arnald Puy, Pamphile T. Roy, Andrea Saltelli
While sensitivity analysis improves the transparency and reliability of mathematical models, its uptake by modelers is still scarce. This is partially explained by its technical re…
Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy
Samuele Lo Piano, Federico Ferretti, Arnald Puy +2
Variance-based sensitivity indices have established themselves as a reference among practitioners of sensitivity analysis of model outputs. A variance-based sensitivity analysis ty…
Unpacking uncertainty in the modelling process for energy policy making
Samuele Lo Piano, Máté János Lőrincz, Arnald Puy +4
This paper explores how the modelling of energy systems may lead to undue closure of alternatives by generating an excess of certainty around some of the possible policy options. W…
Physics to the rescue?
Andrea Saltelli, Monica Di Fiore, Francesco Spanò
A vast body of literature addresses the complex nature of science's reproducibility crisis. In contrast with this perceived complexity, some recent papers from the discipline of ph…
sensobol: an R package to compute variance-based sensitivity indices
Arnald Puy, Samuele Lo Piano, Andrea Saltelli +1
The R package "sensobol" provides several functions to conduct variance-based uncertainty and sensitivity analysis, from the estimation of sensitivity indices to the visual represe…