References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Erickson, Collin B.; Ankenman, Bruce E.; Sanchez, Susan M.: Comparison of Gaussian process modeling software (2018)
  2. Haaland, Benjamin; Wang, Wenjia; Maheshwari, Vaibhav: A framework for controlling sources of inaccuracy in Gaussian process emulation of deterministic computer experiments (2018)
  3. Beck, Joakim; Guillas, Serge: Sequential design with mutual information for computer experiments (MICE): emulation of a tsunami model (2016)
  4. Pokharel, Gyanendra; Deardon, Rob: Gaussian process emulators for spatial individual-level models of infectious disease (2016)
  5. Robert Gramacy: laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R (2016) not zbMATH
  6. Blake MacDonald; Pritam Ranjan; Hugh Chipman: GPfit: An R Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs (2015) not zbMATH
  7. Christopher Paciorek; Benjamin Lipshitz; Wei Zhuo; Prabhat; Cari G. Kaufman; Rollin Thomas: Parallelizing Gaussian Process Calculations in R (2015) not zbMATH
  8. Regier, Jeffrey C.; Stark, Philip B.: Mini-minimax uncertainty quantification for emulators (2015)
  9. Picheny, Victor; Ginsbourger, David: Noisy kriging-based optimization methods: a unified implementation within the DiceOptim package (2014)
  10. Blake MacDoanld, Hugh Chipman, Pritam Ranjan: GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm (2013) arXiv
  11. 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
  12. Paulo, Rui; García-Donato, Gonzalo; Palomo, Jesús: Calibration of computer models with multivariate output (2012)
  13. Haaland, Ben; Qian, Peter Z. G.: Accurate emulators for large-scale computer experiments (2011)
  14. Dancik, Garrett M.; Dorman, Karin S.: \textitmlegp: Statistical analysis for computer models of biological systems using R. (2008) ioport