The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
SALib: An open-source Python library for Sensitivity Analysis
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SALib contains Python implementations of commonly used global sensitivity analysis methods, including Sobol (Sobol’ 2001, Andrea Saltelli (2002), Andrea Saltelli et al. (2010)), Morris (Morris 1991 ...
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Citations
Cites
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates
Sobol′, I. M. (2001) · Mathematics and Computers in Simulation · doi:10.1016/s0378-4754(00)00270-6 · Cited by 6,389
Factorial Sampling Plans for Preliminary Computational Experiments
Morris, M. D. (1991) · Technometrics · doi:10.1080/00401706.1991.10484804 · Cited by 4,943
Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010) · Computer Physics Communications · doi:10.1016/j.cpc.2009.09.018 · Cited by 3,623
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
Saltelli, A., Tarantola, S., & Chan, K. P.-S. (1999) · Technometrics · doi:10.1080/00401706.1999.10485594 · Cited by 2,275
Making best use of model evaluations to compute sensitivity indices
Saltelli, A. (2002) · Computer Physics Communications · doi:10.1016/s0010-4655(02)00280-1 · Cited by 2,228
An effective screening design for sensitivity analysis of large models
Campolongo, F., Cariboni, J., & Saltelli, A. (2007) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.10.004 · Cited by 2,011
Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory
Cukier, R. I., Fortuin, C. M., Shuler, K. E., Petschek, A. G., & Schaibly, J. H. (1973) · The Journal of Chemical Physics · doi:10.1063/1.1680571 · Cited by 1,046
A new uncertainty importance measure
Borgonovo, E. (2007) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2006.04.015 · Cited by 1,026
Wagner, H. M. (1995) · Operations Research · doi:10.1287/opre.43.6.948 · Cited by 932
Cited by
Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses
Iwanaga, T., Usher, W., & Herman, J. (2022) · Socio-Environmental Systems Modelling · doi:10.18174/sesmo.18155 · Cited by 367
Self-citationInterpretML: A Unified Framework for Machine Learning Interpretability
Nori, H., Jenkins, S., Koch, P., & Caruana, R. (2019) · arXiv · doi:10.48550/arxiv.1909.09223 · Cited by 322
Sensitivity analysis methods in the biomedical sciences
Qian, G., & Mahdi, A. (2020) · Mathematical Biosciences · doi:10.1016/j.mbs.2020.108306 · Cited by 169
Abdelbaky, M., Peeters, J. R., & Dewulf, W. (2021) · Waste Management · doi:10.1016/j.wasman.2021.02.032 · Cited by 147
Kodros, J. K., O’Dell, K., Samet, J. M., L’Orange, C., Pierce, J. R., & Volckens, J. (2021) · GeoHealth · doi:10.1029/2021gh000482 · Cited by 93
Metadata
- Authors
- Herman, J., & Usher, W.
- Venue
- The Journal of Open Source Software
- Publisher
- The Open Journal
- Published
- 2017-01-10
- Volume
- 2
- Issue
- 9
- Pages
- 97
- ISSN
- 2475-9066 (ISSN-L)
- OpenAlex
- W2569457803
- Cited by
- 1,524
- References
- 12
- Type
- software paper
- Language
- en
- Open access
- diamond
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- Herman, J., & Usher, W. (2017). SALib: An open-source Python library for Sensitivity Analysis. The Journal of Open Source Software. https://doi.org/10.21105/joss.00097
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
