Gaussian process

  1. Derivative-free Bayesian design method for sequential settings
  2. Atlantic δ13CDIC reconstructed with machine learning
    Gaussian Process Regression reconstructs stable carbon isotope composition of dissolved inorganic carbon in the Atlantic Ocean, expanding historical data coverage 7.65-fold.
  3. GloMarGridding supports spatial interpolation uncertainty assessment
    GloMarGridding isolates and assesses structural uncertainty from spatial interpolation in global temperature datasets using Gaussian Process Regression Modelling.