References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin: sensobol: an R package to compute variance-based sensitivity indices (2021) arXiv
  2. Frank, Anna S.; Larripa, Kamila; Ryu, Hwayeon; Snodgrass, Ryan G.; Röblitz, Susanna: Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization (2021)
  3. Grigoriev, Vasiliy V.; Iliev, Oleg; Vabishchevich, Petr N.: Computational identification of adsorption and desorption parameters for pore scale transport in random porous media (2020)
  4. Grigoriev, Vasiliy V.; Iliev, Oleg; Vabishchevich, Petr N.: Computational identification of adsorption and desorption parameters for pore scale transport in periodic porous media (2020)
  5. Hadjimichael, A., Gold, D., Hadka, D., Reed, P.: Rhodium: Python Library for Many-Objective Robust Decision Making and Exploratory Modeling (2020) not zbMATH
  6. Lee, Taeksang; Bilionis, Ilias; Buganza Tepole, Adrian: Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression (2020)
  7. Lejeune, Emma; Linder, Christian: Interpreting stochastic agent-based models of cell death (2020)
  8. Qian, George; Mahdi, Adam: Sensitivity analysis methods in the biomedical sciences (2020)
  9. Rezaei, A.; Nakshatrala, K. B.; Siddiqui, F.; Dindoruk, B.; Soliman, M.: A global sensitivity analysis and reduced-order models for hydraulically fractured horizontal wells (2020)
  10. Robin A. Richardson, David W. Wright, Wouter Edeling, Vytautas Jancauskas, Jalal Lakhlili, Peter V. Coveney: EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing (2020) not zbMATH
  11. Lund, Alana; Dyke, Shirley J.; Song, Wei; Bilionis, Ilias: Global sensitivity analysis for the design of nonlinear identification experiments (2019)
  12. Ballester-Ripoll, Rafael; Paredes, Enrique G.; Pajarola, Renato: Tensor algorithms for advanced sensitivity metrics (2018)
  13. Mai, Vinh Q.; Vo, Tuoi T.; Meere, Martin: Modelling hyaluronan degradation by Streptococcus pneumoniae hyaluronate lyase (2018)