• Modeling the Norwegian sea ‘pelagic complex’. An application of the ensemble kalman filter 

      Ekerhovd, Nils-Arne; Kvamsdal, Sturla Furunes (Working paper;07/13, Working paper, 2013-02)
      We have estimated the parameters of a modified logistic ecosystem model of the pelagic fish stocks in the Norwegian Sea with the Ensemble Kalman Filter. Our model only contains four parameters. The model appear to capture ...
    • The ensemble kalman filter for multidimensional bioeconomic models 

      Kvamsdal, Sturla Furunes; Sandal, Leif Kristoffer (Working papers;04/14, Working paper, 2014-03)
      To serve the needs for integrating economic considerations into management decisions in ecosystem frameworks, we need to build models that capture observed system dynamics and incorporate existing knowledge of ecosystems ...
    • The ensemble Kalman filter in bioeconomics 

      Kvamsdal, Sturla Furunes; Sandal, Leif Kristoffer (Discussion paper;2012:5, Working paper, 2012-05)
      We demonstrate the power of the Ensemble Kalman Filter in specifying ecosystem models ideal for bioeconomic analysis. Bioeconomic analysis requires models to be relatively simple, but models must still capture the nature ...
    • Up the Ante on Bioeconomic Submodels of Marine Foodwebs : a data assimilation-based approach 

      Ekerhovd, Nils-Arne; Kvamsdal, Sturla Furunes (Working paper;13/14, Working paper, 2014-09)
      While economists have discussed ecosystem-based management and similar concepts, little attention has been devoted to the art of modeling. Models of ecosystems or foodwebs that make economic analysis viable should capture ...