References in zbMATH (referenced in 20 articles )

Showing results 1 to 20 of 20.
Sorted by year (citations)

  1. Gladish, Daniel W.; Darnell, Ross; Thorburn, Peter J.; Haldankar, Bhakti: Emulated multivariate global sensitivity analysis for complex computer models applied to agricultural simulators (2019)
  2. Gu, Mengyang: Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (2019)
  3. Mickaël Binois and Victor Picheny: GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis (2019) not zbMATH
  4. Sambakhé, Diariétou; Rouan, Lauriane; Bacro, Jean-Noël; Gozé, Eric: Conditional optimization of a noisy function using a kriging metamodel (2019)
  5. Wang, Bo; Zhang, Qiong; Xie, Wei: Bayesian sequential data collection for stochastic simulation calibration (2019)
  6. Zhang, Ru; Lin, C. Devon; Ranjan, Pritam: A sequential design approach for calibrating dynamic computer simulators (2019)
  7. Antony Overstall, David Woods, Maria Adamou: acebayes: An R Package for Bayesian Optimal Design of Experiments via Approximate Coordinate Exchange (2017) arXiv
  8. Wahl, François; Mercadier, Cécile; Helbert, Céline: A standardized distance-based index to assess the quality of space-filling designs (2017)
  9. Pieter Schoonees and Niël le Roux and Roelof Coetzer: Flexible Graphical Assessment of Experimental Designs in R: The vdg Package (2016) not zbMATH
  10. Robert Gramacy: laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R (2016) not zbMATH
  11. Blake MacDonald; Pritam Ranjan; Hugh Chipman: GPfit: An R Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs (2015) not zbMATH
  12. Delphine Dupuy; Céline Helbert; Jessica Franco: DiceDesign and DiceEval: Two R Packages for Design and Analysis of Computer Experiments (2015) not zbMATH
  13. Picheny, Victor; Ginsbourger, David: Noisy kriging-based optimization methods: a unified implementation within the DiceOptim package (2014)
  14. Blake MacDoanld, Hugh Chipman, Pritam Ranjan: GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm (2013) arXiv
  15. Friedrich, Thomas; Knapp, Guido: Generalised interval estimation in the random effects meta regression model (2013)
  16. Lenormand, Maxime; Jabot, Franck; Deffuant, Guillaume: Adaptive approximate Bayesian computation for complex models (2013)
  17. Chipman, Hugh; Ranjan, Pritam; Wang, Weiwei: Sequential design for computer experiments with a flexible Bayesian additive model (2012)
  18. Deutsch, Jared L.; Deutsch, Clayton V.: Latin hypercube sampling with multidimensional uniformity (2012)
  19. Olivier Roustant; David Ginsbourger; Yves Deville: DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012) not zbMATH
  20. Pronzato, Luc; Müller, Werner G.: Design of computer experiments: space filling and beyond (2012)