- Title: Using Emulators for Optimization: Fitting a Vegetation Model to Field Observations
- Short description:
The basic idea of a Gaussian process emulator is to fit a statistical model to

output from a (computationally expensive) model. The statistical model can

then be used to cheaply obtain new values from the complex model. If the

complex model contains parameters which have to be optimised the emulator can be

used to aid the optimisation by suggesting new evalution points, and excluding

unlikely regions from the optimisation. Here the emulator will be used to fit a

vegetation model to observed data. - Long description:
None

- Contact: Johan Lindström