Blind Kriging: Implementation and performance analysis

@article{Couckuyt2012BlindKI,
  title={Blind Kriging: Implementation and performance analysis},
  author={Ivo Couckuyt and A. Forrester and Dirk Gorissen and Filip De Turck and Tom Dhaene},
  journal={Advances in Engineering Software},
  year={2012},
  volume={49},
  pages={1-13}
}
When analysing data from computationally expensive simulation codes or process measurements, surrogate modelling methods are firmly established as facilitators for design space exploration, sensitivity analysis, visualisation and optimisation. Kriging is a popular surrogate modelling technique for data based on deterministic computer experiments. There exist several types of Kriging, mostly differing in the type of regression function used. Recently a promising new variable selection technique… CONTINUE READING
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