Now showing items 1-2 of 2

  • NLNG: A R Package for State Space Models 

    Hartling, Joey (2019-08-30)
    State space models require the ability to perform filtering, smoothing and prediction during analysis. To perform these procedures fairly complex computational algorithms are required. There is a consequent need for ...
  • Parameter, State and Uncertainty Estimation for 3-dimensional Biological Ocean Models 

    Mattern, Jann Paul (2012-08-23)
    Realistic physical-biological ocean models pose challenges to statistical techniques due to their complexity, nonlinearity and high dimensionality. In this thesis, statistical data assimilation techniques for parameter and ...