A practical extension of the recursive multi-fidelity model for the emulation of hole closure experiments

[1]  I. Sobol.  On the distribution of points in a cube and the approximate evaluation of integrals , 1967 .

[2]  Richard J. Beckman,et al.  A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.

[3]  Bruno Sansó,et al.  BASS: An R Package for Fitting and Performing Sensitivity Analysis of Bayesian Adaptive Spline Surfaces , 2020, Journal of Statistical Software.

[4]  D. Higdon,et al.  Computer Model Calibration Using High-Dimensional Output , 2008 .

[5]  M. Stein.  Large sample properties of simulations using latin hypercube sampling , 1987 .

[6]  P. J. Maudlin,et al.  On the modeling of the Taylor cylinder impact test for orthotropic textured materials: experiments and simulations , 1999 .

[7]  G. Rennen,et al.  Nested maximin Latin hypercube designs , 2009 .

[8]  A. O'Hagan,et al.  Predicting the output from a complex computer code when fast approximations are available , 2000 .

[9]  Derek Bingham,et al.  Prediction and Computer Model Calibration Using Outputs From Multifidelity Simulators , 2012, Technometrics.

[10]  Benjamin Peherstorfer,et al.  Survey of multifidelity methods in uncertainty propagation, inference, and optimization , 2018, SIAM Rev..

[11]  Kathleen L. Schmidt,et al.  Sensitivity Analysis of strength models using~Bayesian Adaptive Splines~ , 2018 .

[12]  Kathleen L. Schmidt,et al.  A comparison of material flow strength models using Bayesian cross-validation , 2019, Computational Materials Science.

[13]  James O. Berger,et al.  Robust Gaussian stochastic process emulation , 2017, The Annals of Statistics.

[14]  Dean L. Preston,et al.  Model of plastic deformation for extreme loading conditions , 2003 .

[15]  Loic Le Gratiet,et al.  RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY , 2012, 1210.0686.