• The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support 

      Razavi, Saman; Jakeman, Anthony; Saltelli, Andrea; Prieur, Clémentine; Iooss, Bertrand; Borgonovo, Emanuele; Plischke, Elmar; Lo Piano, Samuele; Iwanaga, Takuya; Becker, William; Tarantola, Stefano; Guillaume, Joseph H.A.; Jakeman, John; Gupta, Hoshin; Melillo, Nicola; Rabitti, Giovanni; Chabridon, Vincent; Duan, Qingyun; Sun, Xifu; Smith, Stefán; Sheikholeslami, Razi; Hosseini, Nasim; Asadzadeh, Masoud; Puy, Arnald; Kucherenko, Sergei; Maier, Holger R. (Journal article; Peer reviewed, 2021)
      Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tremendous potential benefits of SA are, however, yet to be fully realized, both for advancing mechanistic and data-driven ...
    • Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices 

      Saltelli, Andrea; Aleksankina, Ksenia; Becker, William; Fennell, Pamela; Ferretti, Frederico; Holst, Niels; Li, Sushan; Wu, Qiongli (Journal article; Peer reviewed, 2019-04)
      Sensitivity analysis provides information on the relative importance of model input parameters and assumptions. It is distinct from uncertainty analysis, which addresses the question ‘How uncertain is the prediction?’ ...