A Python Package for Distance-Based Generalized Sensitivity Analysis (DGSA)
By: Jihui Ding, Céline Scheidt, Peng Li, David Zhen Yin and Jef Caers
References
- Fenwick D, Scheidt C, Caers J. Quantifying asymmetric parameter interactions in sensitivity analysis: application to reservoir modeling. Mathematical Geosciences. 2014;46:493–511. DOI: 10.1007/s11004-014-9530-5
- Scheidt C, Li L, Caers J. Quantifying uncertainty in subsurface systems. Hoboken, NJ: John Wiley & Sons; 2018. DOI: 10.1002/9781119325888
- Li L, Muradov R, Scheidt C. GitHub Repository. 2017. Available from:
https://github.com/lewisli/QUSS . - Park J, Scheidt C. GitHub Repository. 2016. Available from:
https://github.com/SCRFpublic/DGSA . - Yin Z. GitHub Repository. 2019. Available from:
https://github.com/SCRFpublic/DGSA_Light . - Park J, Yang G, Satija A, Scheidt C, Caers J. DGSA: a Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments. Computers & Geosciences. 2016;97:15–29. DOI: 10.1016/j.cageo.2016.08.021
DOI: https://doi.org/10.5334/jors.697 | Journal eISSN: 2049-9647
Language: English
Page range: 50 - 50
Submitted on: Feb 14, 2026
Accepted on: Jun 22, 2026
Published on: Jul 6, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2026 Jihui Ding, Céline Scheidt, Peng Li, David Zhen Yin, Jef Caers, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.