Cited by 91Probabilistic and Robust Engineering DesignGaussian Processes and Bayesian InferenceSimulation Techniques and Applications

Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniques

Open access
Jaxa-Rozen, Marc, Kwakkel, Jan·2018·Environmental Modelling & Software

Integrity signals

Registry

Crossref · 10.1016/j.envsoft.2018.06.011

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60 of 60 references verified0 citation errors · 0 not checkable

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  • ML has the potential to help with sensitivity and uncertainty analysis, with finding numerical solutions for computationally expensive submodels, and assessing the validity of models.

    “ML also has the potential to help with sensitivity and uncertainty analysis [386], with finding numerical solutions for computational expensive submodels [206,714], and assessing the validity of the models [556].”

    From Tackling climate change with machine learning (2023) · cites this paper as [386]

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Authors
Jaxa-Rozen, M., & Kwakkel, J.
Affiliations
Delft University of Technology (NL)
Corresponding author
Jaxa-Rozen, Marc
Venue
Environmental Modelling & Software
Publisher
Elsevier BV
Published
2018-09
Volume
107
Pages
245-266
ISSN
1364-8152 (ISSN-L)
OpenAlex
W2808170886
Cited by
91
References
60
Citations by year
2026: 16 · 2025: 11 · 2024: 12 · 2023: 14 · 2022: 11 · 2021: 11 · 2020: 11 · 2019: 4 · 2018: 1
FWCI
5.15
Type
journal article
Language
en
Open access
Locations
  • Environmental Modelling & Software (publishedVersion)
  • Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
  • Research Repository (Delft University of Technology) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
Funders
Netherlands Organization for Scientific Research (NWO) (408-13-030)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Probabilistic and Robust Engineering Design
  • Physical Sciences › Computer Science › Artificial Intelligence › Gaussian Processes and Bayesian Inference
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
Keywords
global sensitivity analysis, tree-based ensemble methods, random forest, extra trees, Sobol indices, Morris screening, elementary effects, environmental models

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