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Estimating the approximation error when fixing unessential factors in global sensitivity analysis

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Cited by:

  1. Sobol’, I.M. & Kucherenko, S., 2009. "Derivative based global sensitivity measures and their link with global sensitivity indices," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3009-3017.
  2. Deman, G. & Konakli, K. & Sudret, B. & Kerrou, J. & Perrochet, P. & Benabderrahmane, H., 2016. "Using sparse polynomial chaos expansions for the global sensitivity analysis of groundwater lifetime expectancy in a multi-layered hydrogeological model," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 156-169.
  3. Sobol' I. M. & Myshetskaya E. E., 2008. "Monte Carlo estimators for small sensitivity indices," Monte Carlo Methods and Applications, De Gruyter, vol. 13(5-6), pages 455-465, January.
  4. Roux, Sébastien & Loisel, Patrice & Buis, Samuel, 2019. "A filter-based approach for global sensitivity analysis of models with functional inputs," Reliability Engineering and System Safety, Elsevier, vol. 187(C), pages 119-128.
  5. Kolyukhin Dmitriy, 2018. "Global sensitivity analysis for a stochastic flow problem," Monte Carlo Methods and Applications, De Gruyter, vol. 24(4), pages 263-270, December.
  6. Alexanderian, Alen & Gremaud, Pierre A. & Smith, Ralph C., 2020. "Variance-based sensitivity analysis for time-dependent processes," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
  7. Xiaoyan Zhu & Way Kuo, 2014. "Importance measures in reliability and mathematical programming," Annals of Operations Research, Springer, vol. 212(1), pages 241-267, January.
  8. Plischke, Elmar, 2010. "An effective algorithm for computing global sensitivity indices (EASI)," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 354-360.
  9. Borgonovo, E., 2010. "Sensitivity analysis with finite changes: An application to modified EOQ models," European Journal of Operational Research, Elsevier, vol. 200(1), pages 127-138, January.
  10. Plischke, Elmar, 2012. "An adaptive correlation ratio method using the cumulative sum of the reordered output," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 149-156.
  11. David, Viviane & Joachim, Sandrine & Tebby, Cleo & Porcher, Jean-Marc & Beaudouin, Rémy, 2019. "Modelling population dynamics in mesocosms using an individual-based model coupled to a bioenergetics model," Ecological Modelling, Elsevier, vol. 398(C), pages 55-66.
  12. Edouard Dossetto & Christophe Chorro, 2022. "Building a global sensitivity analysis to quantify the robustness of macro-economic models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-05559166, HAL.
  13. Viviane M. Gomes & Joao R. B. Paiva & Marcio R. C. Reis & Gabriel A. Wainer & Wesley P. Calixto, 2019. "Mechanism for Measuring System Complexity Applying Sensitivity Analysis," Complexity, Hindawi, vol. 2019, pages 1-12, April.
  14. Calum Brown & Evan Brown & Dave Murray-Rust & George Cojocaru & Cristina Savin & Mark Rounsevell, 2015. "Analysing uncertainties in climate change impact assessment across sectors and scenarios," Climatic Change, Springer, vol. 128(3), pages 293-306, February.
  15. Sobol' Ilya M. & Shukhman Boris V., 2007. "On Global Sensitivity Indices: Monte Carlo Estimates Affected by Random Errors," Monte Carlo Methods and Applications, De Gruyter, vol. 13(1), pages 89-97, April.
  16. Zhao, Yunjie & Cheng, Xi & Zhang, Taihong & Wang, Lei & Shao, Wei & Wiart, Joe, 2023. "A global–local attention network for uncertainty analysis of ground penetrating radar modeling," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  17. Bart, Ryan R. & Kennedy, Maureen C. & Tague, Christina L. & McKenzie, Donald, 2020. "Integrating fire effects on vegetation carbon cycling within an ecohydrologic model," Ecological Modelling, Elsevier, vol. 416(C).
  18. Lamboni, M. & Iooss, B. & Popelin, A.-L. & Gamboa, F., 2013. "Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 87(C), pages 45-54.
  19. Liu, Bokai & Penaka, Santhan Reddy & Lu, Weizhuo & Feng, Kailun & Rebbling, Anders & Olofsson, Thomas, 2023. "Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits: A case study in northern Sweden," Technology in Society, Elsevier, vol. 75(C).
  20. Stajić, Ljubiša & Praksová, Renáta & Brkić, Dejan & Praks, Pavel, 2024. "Estimation of global natural gas spot prices using big data and symbolic regression," Resources Policy, Elsevier, vol. 95(C).
  21. Kucherenko, S. & Song, S., 2017. "Different numerical estimators for main effect global sensitivity indices," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 222-238.
  22. Sudret, B. & Mai, C.V., 2015. "Computing derivative-based global sensitivity measures using polynomial chaos expansions," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 241-250.
  23. Beccacece, F. & Borgonovo, E., 2011. "Functional ANOVA, ultramodularity and monotonicity: Applications in multiattribute utility theory," European Journal of Operational Research, Elsevier, vol. 210(2), pages 326-335, April.
  24. Abimbola, Olufemi P. & Franz, Trenton E. & Rudnick, Daran & Heeren, Derek & Yang, Haishun & Wolf, Adam & Katimbo, Abia & Nakabuye, Hope N. & Amori, Anthony, 2022. "Improving crop modeling to better simulate maize yield variability under different irrigation managements," Agricultural Water Management, Elsevier, vol. 262(C).
  25. Gatelli, D. & Kucherenko, S. & Ratto, M. & Tarantola, S., 2009. "Calculating first-order sensitivity measures: A benchmark of some recent methodologies," Reliability Engineering and System Safety, Elsevier, vol. 94(7), pages 1212-1219.
  26. Sun, Xifu & Croke, Barry & Roberts, Stephen & Jakeman, Anthony, 2021. "Comparing methods of randomizing Sobol′ sequences for improving uncertainty of metrics in variance-based global sensitivity estimation," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
  27. Wei, Pengfei & Lu, Zhenzhou & Song, Jingwen, 2015. "Variable importance analysis: A comprehensive review," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 399-432.
  28. Chen, Xin & Molina-Cristóbal, Arturo & Guenov, Marin D. & Riaz, Atif, 2019. "Efficient method for variance-based sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 97-115.
  29. Lo Piano, Samuele & Ferretti, Federico & Puy, Arnald & Albrecht, Daniel & Saltelli, Andrea, 2021. "Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
  30. Emanuele Borgonovo, 2010. "A Methodology for Determining Interactions in Probabilistic Safety Assessment Models by Varying One Parameter at a Time," Risk Analysis, John Wiley & Sons, vol. 30(3), pages 385-399, March.
  31. Medeiros-Sousa, Antônio Ralph & Lange, Martin & Mucci, Luis Filipe & Marrelli, Mauro Toledo & Grimm, Volker, 2024. "Modelling the transmission and spread of yellow fever in forest landscapes with different spatial configurations," Ecological Modelling, Elsevier, vol. 489(C).
  32. Kucherenko, Sergei & Feil, Balazs & Shah, Nilay & Mauntz, Wolfgang, 2011. "The identification of model effective dimensions using global sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 96(4), pages 440-449.
  33. Xiao, Sinan & Lu, Zhenzhou & Wang, Pan, 2018. "Multivariate global sensitivity analysis for dynamic models based on wavelet analysis," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 20-30.
  34. Matieyendou Lamboni, 2018. "Global sensitivity analysis: a generalized, unbiased and optimal estimator of total-effect variance," Statistical Papers, Springer, vol. 59(1), pages 361-386, March.
  35. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems," Applied Energy, Elsevier, vol. 214(C), pages 219-238.
  36. Medeiros-Sousa, Antônio Ralph & Laporta, Gabriel Zorello & Mucci, Luis Filipe & Marrelli, Mauro Toledo, 2022. "Epizootic dynamics of yellow fever in forest fragments: An agent-based model to explore the influence of vector and host parameters," Ecological Modelling, Elsevier, vol. 466(C).
  37. Jouin, Marine & Gouriveau, Rafael & Hissel, Daniel & Péra, Marie-Cécile & Zerhouni, Noureddine, 2016. "Degradations analysis and aging modeling for health assessment and prognostics of PEMFC," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 78-95.
  38. Gomes Pacheco, Viviane M. & Wainer, Gabriel A. & Gomes, Flavio A. & Martins, Weber & Paiva, Joao Ricardo B. & Martins, Marcella Scoczynski R. & Rodrigues, Clóves Gonçalves & Coimbra, Antonio Paulo & C, 2025. "Connection-based framework for assessing natural complexity in nonlinear adaptive systems," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
  39. Li, Chenzhao & Mahadevan, Sankaran, 2016. "An efficient modularized sample-based method to estimate the first-order Sobol׳ index," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 110-121.
  40. Mara, Thierry Alex, 2009. "Extension of the RBD-FAST method to the computation of global sensitivity indices," Reliability Engineering and System Safety, Elsevier, vol. 94(8), pages 1274-1281.
  41. Mirko Ginocchi & Ferdinanda Ponci & Antonello Monti, 2021. "Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started," Energies, MDPI, vol. 14(24), pages 1-59, December.
  42. Damblin, Guillaume & Ghione, Alberto, 2021. "Adaptive use of replicated Latin Hypercube Designs for computing Sobol’ sensitivity indices," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
  43. Nikishova, Anna & Comi, Giovanni E. & Hoekstra, Alfons G., 2020. "Sensitivity analysis based dimension reduction of multiscale models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 205-220.
  44. Konakli, Katerina & Sudret, Bruno, 2016. "Global sensitivity analysis using low-rank tensor approximations," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 64-83.
  45. Hübler, Clemens, 2020. "Global sensitivity analysis for medium-dimensional structural engineering problems using stochastic collocation," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
  46. Venelin Todorov & Petar Zhivkov, 2025. "Efficient Evaluation of Sobol’ Sensitivity Indices via Polynomial Lattice Rules and Modified Sobol’ Sequences," Mathematics, MDPI, vol. 13(21), pages 1-20, October.
  47. Azzini, Ivano & Rosati, Rossana, 2021. "Sobol’ main effect index: an Innovative Algorithm (IA) using Dynamic Adaptive Variances," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
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