Small Sample Bayesian Designs for Complex High-Dimensional Models Based on Information Gained Using Fast Approximations

We consider the problem of designing for complex high-dimensional computer models that can be evaluated at different levels of accuracy. Ordinarily, this requires performing many expensive evaluations of the most accurate version of the computer model to obtain a reasonable coverage of the design sp...

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Bibliographic Details
Published in:	Technometrics Vol. 51; no. 4; pp. 377 - 388
Main Authors:	Cumming, Jonathan A., Goldstein, Michael
Format:	Journal Article
Language:	English
Published:	Alexandria Taylor & Francis 01.11.2009 The American Society for Quality and The American Statistical Association American Society for Quality
Subjects:	Approximation Bayes linear methods Bayesian analysis Computer analysis Computer experiments Computer modeling Computer simulation Design Design analysis Design evaluation Experiment design Experimental design Hydrocarbon reservoir Least squares Mathematical functions Mathematical vectors Modeling Multiscale emulation Simulation Simulations Statistical methods
ISSN:	0040-1706, 1537-2723
Online Access:	Get full text
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