63 citations · 205 across the 9 of their papers we have counts for
10 papers
Improving Discrepancy Measures for Global Sensitivity Analysis
Samuele Lo Piano, Alessio Lachi, Razi Sheikholeslami +3
Sensitivity analysis methods based on Sobol' total-order indices () are well-founded but computationally demanding. A recently proposed ersatz discrepancy measure offers a che…
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…
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…
Is VARS more intuitive and efficient than Sobol' indices?
Arnald Puy, Samuele Lo Piano, Andrea Saltelli
The Variogram Analysis of Response Surfaces (VARS) has been proposed by Razavi and Gupta as a new comprehensive framework in sensitivity analysis. According to these authors, VARS…
A comprehensive comparison of total-order estimators for global sensitivity analysis
Arnald Puy, William Becker, Samuele Lo Piano +1
Sensitivity analysis helps identify which model inputs convey the most uncertainty to the model output. One of the most authoritative measures in global sensitivity analysis is the…
Are the results of the groundwater model robust?
Arnald Puy, Emanuele Borgonovo, Samuele Lo Piano +1
De Graaf et al. (2019) suggest that groundwater pumping will bring 42--79\% of worldwide watersheds close to environmental exhaustion by 2050. We are skeptical of these figures due…
A sensitivity analysis of the PAWN sensitivity index
Arnald Puy, Samuele Lo Piano, Andrea Saltelli
The PAWN index is gaining traction among the modelling community as a sensitivity measure. However, the robustness to its design parameters has not yet been scrutinized: the size (…