References in zbMATH (referenced in 21 articles )

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  1. Champagne, Clara; Gerhards, Maximilian; Lana, Justin; García Espinosa, Bernardo; Bradley, Christina; González, Oscar; Cohen, Justin M.; Le Menach, Arnaud; White, Michael T.; Pothin, Emilie: Using observed incidence to calibrate the transmission level of a mathematical model for \textitPlasmodiumvivax dynamics including case management and importation (2022)
  2. Wang, Yan; Lu, Guichen; Du, Jiang: Calibration and prediction for the inexact SIR model (2022)
  3. Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin: sensobol: an R package to compute variance-based sensitivity indices (2021) arXiv
  4. Broto, Baptiste; Bachoc, François; Depecker, Marine; Martinez, Jean-Marc: Gaussian linear approximation for the estimation of the Shapley effects (2021)
  5. Hintz, Erik; Hofert, Marius; Lemieux, Christiane: Normal variance mixtures: distribution, density and parameter estimation (2021)
  6. Martin, Olivier; Fernandez-Diclo, Yasmil; Coville, Jérôme; Soubeyrand, Samuel: Equilibrium and sensitivity analysis of a spatio-temporal host-vector epidemic model (2021)
  7. Lamboni, Matieyendou: Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol’ indices (2020)
  8. Qian, George; Mahdi, Adam: Sensitivity analysis methods in the biomedical sciences (2020)
  9. Roustant, Olivier; Gamboa, Fabrice; Iooss, Bertrand: Parseval inequalities and lower bounds for variance-based sensitivity indices (2020)
  10. Gladish, Daniel W.; Darnell, Ross; Thorburn, Peter J.; Haldankar, Bhakti: Emulated multivariate global sensitivity analysis for complex computer models applied to agricultural simulators (2019)
  11. Gu, Mengyang: Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (2019)
  12. Mercadier, Cécile; Roustant, Olivier: The tail dependograph (2019)
  13. Chadsuthi, Sudarat; Wichapeng, Surapa: The modelling of hand, foot, and mouth disease in contaminated environments in Bangkok, Thailand (2018)
  14. Grenier, Emmanuel; Helbert, Celine; Louvet, Violaine; Samson, Adeline; Vigneaux, Paul: Population parametrization of costly black box models using iterations between SAEM algorithm and Kriging (2018)
  15. Lamboni, Matieyendou: Global sensitivity analysis: a generalized, unbiased and optimal estimator of total-effect variance (2018)
  16. Hosseini, Bamdad; Stockie, John M.: Estimating airborne particulate emissions using a finite-volume forward solver coupled with a Bayesian inversion approach (2017)
  17. Scholten, Lisa; Schuwirth, Nele; Reichert, Peter; Lienert, Judit: Tackling uncertainty in multi-criteria decision analysis -- an application to water supply infrastructure planning (2015) ioport
  18. Rohmer, Jeremy: Combining meta-modeling and categorical indicators for global sensitivity analysis of long-running flow simulators with spatially dependent inputs (2014)
  19. Pau, George Shu Heng; Zhang, Yingqi; Finsterle, Stefan: Reduced order models for many-query subsurface flow applications (2013)
  20. Olivier Roustant; David Ginsbourger; Yves Deville: DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012) not zbMATH

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