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pro vyhledávání: '"Saltelli, A."'
The present work provides an application of Global Sensitivity Analysis to supervised machine learning methods such as Random Forests. These methods act as black boxes, selecting features in high--dimensional data sets as to provide accurate classifi
Externí odkaz:
http://arxiv.org/abs/2407.14194
Autor:
Saltelli, Andrea1,2 (AUTHOR) andrea.saltelli@gmail.com
Publikováno v:
Foundations of Science. Dec2024, Vol. 29 Issue 4, p945-954. 10p.
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 requirements, which may be hard to understand and implement by the non-s
Externí odkaz:
http://arxiv.org/abs/2206.13470
Autor:
Puy, Arnald, Saltelli, Andrea
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 of the model's uncertainty space, model black-boxing, computational e
Externí odkaz:
http://arxiv.org/abs/2207.12230
Autor:
Andrea Saltelli
Publikováno v:
Sociologica, Vol 17, Iss 3, Pp 157-161 (2024)
Juan Pablo Pardo-Guerra, a Mexican born scholar with considerable experience of working in the UK, now an associate professor at the University of California, San Diego, takes us on a leisurely stroll along the predicaments of British academia, as su
Externí odkaz:
https://doaj.org/article/48f47dcad63245c3823f739ca4a03774
Publikováno v:
Reliability Engineering and System Safety 206 (2021), 107300
Variance-based sensitivity indices have established themselves as a reference among practitioners of sensitivity analysis of model outputs. A variance-based sensitivity analysis typically produces the first-order sensitivity indices $S_j$ and the so-
Externí odkaz:
http://arxiv.org/abs/2203.00639
Autor:
Piano, Samuele Lo, Lőrincz, Máté János, Puy, Arnald, Pye, Steve, Saltelli, Andrea, Smith, Stefán Thor, van der Sluijs, Jeroen P.
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. We exemplify the problem with two cases: first, the International Insti
Externí odkaz:
http://arxiv.org/abs/2111.00782
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 physics suggests that irreproducibility does not point to a systemic cri
Externí odkaz:
http://arxiv.org/abs/2107.07239
The R package "sensobol" provides several functions to conduct variance-based uncertainty and sensitivity analysis, from the estimation of sensitivity indices to the visual representation of the results. It implements several state-of-the-art first a
Externí odkaz:
http://arxiv.org/abs/2101.10103
Autor:
Tarantola, Stefano, Ferretti, Federico, Lo Piano, Samuele, Kozlova, Mariia, Lachi, Alessio, Rosati, Rossana, Puy, Arnald, Roy, Pamphile, Vannucci, Giulia, Kuc-Czarnecka, Marta, Saltelli, Andrea
Publikováno v:
In Environmental Modelling and Software March 2024 174