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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Vydané v:	Technometrics Ročník 51; číslo 4; s. 377 - 388
Hlavní autori:	Cumming, Jonathan A., Goldstein, Michael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Alexandria Taylor & Francis 01.11.2009 The American Society for Quality and The American Statistical Association American Society for Quality
Predmet:	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
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