Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction
DOI10.2307/1269517zbMath0785.62025OpenAlexW4253834334MaRDI QIDQ3142105
Max D. Morris, Toby J. Mitchell, Donald Ylvisaker
Publication date: 26 April 1994
Full work available at URL: https://digital.library.unt.edu/ark:/67531/metadc1100641/
interpolationsensitivity analysissimulated annealingcorrelation functionscomputer experiments\(D\)-optimalityBayesian predictionLatin hypercube designmaximin distance designsstationary Gaussian stochastic processmultidimensional domainpredicting a deterministic response functionreduction in entropy
Optimal statistical designs (62K05) Bayesian inference (62F15) Probabilistic models, generic numerical methods in probability and statistics (65C20) Applications of statistics (62P99) Probabilistic methods, stochastic differential equations (65C99)
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