DiceKriging

DiceKriging: Kriging methods for computer experiments Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.

Keywords for this software

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References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Bernd Bischl, Jakob Richter, Jakob Bossek, Daniel Horn, Janek Thomas, Michel Lang: mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions (2017) arXiv
  2. Amaran, Satyajith; Sahinidis, Nikolaos V.; Sharda, Bikram; Bury, Scott J.: Simulation optimization: a review of algorithms and applications (2016)
  3. Azzimonti, Dario; Bect, Julien; Chevalier, Clément; Ginsbourger, David: Quantifying uncertainties on excursion sets under a Gaussian random field prior (2016)
  4. Beck, Joakim; Guillas, Serge: Sequential design with mutual information for computer experiments (MICE): emulation of a tsunami model (2016)
  5. Cousin, Areski; Maatouk, Hassan; Rullière, Didier: Kriging of financial term-structures (2016)
  6. De Lozzo, Matthias; Marrel, Amandine: Estimation of the derivative-based global sensitivity measures using a Gaussian process metamodel (2016)
  7. Padonou, Esperan; Roustant, Olivier: Polar Gaussian processes and experimental designs in circular domains (2016)
  8. Risk, J.; Ludkovski, M.: Statistical emulators for pricing and hedging longevity risk products (2016)
  9. Binois, M.; Ginsbourger, D.; Roustant, O.: Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations (2015)
  10. Chevalier, Clément; Emery, Xavier; Ginsbourger, David: Fast update of conditional simulation ensembles (2015)
  11. Kamiński, Bogumił: A method for the updating of stochastic Kriging metamodels (2015)
  12. Picheny, Victor: Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction (2015)
  13. Amaran, Satyajith; Sahinidis, Nikolaos V.; Sharda, Bikram; Bury, Scott J.: Simulation optimization: a review of algorithms and applications (2014)
  14. Couckuyt, Ivo; Dhaene, Tom; Demeester, Piet: ooDACE toolbox: a flexible object-oriented Kriging implementation (2014)
  15. Kleijnen, Jack P.C.; Mehdad, Ehsan: Multivariate versus univariate Kriging metamodels for multi-response simulation models (2014)
  16. Viana, Felipe A.C.; Haftka, Raphael T.; Watson, Layne T.: Efficient global optimization algorithm assisted by multiple surrogate techniques (2013)
  17. Degroote, Joris; Couckuyt, Ivo; Vierendeels, Jan; Segers, Patrick; Dhaene, Tom: Inverse modelling of an aneurysm’s stiffness using surrogate-based optimization and fluid-structure interaction simulations (2012)
  18. Muehlenstaedt, Thomas; Roustant, Olivier; Carraro, Laurent: Data-driven kriging models based on FANOVA-decomposition (2012)
  19. Paulo, Rui; García-Donato, Gonzalo; Palomo, Jesús: Calibration of computer models with multivariate output (2012)