Nested space-filling designs
Seminar Room 1, Newton Institute
AbstractComputer experiments with different levels of accuracy have become prevalent in many engineering and scientific applications. Design construction for such computer experiments is a new issue because the existing methods deal almost exclusively with computer experiments with one level of accuracy. In this talk, I will discuss the construction of some nested space-filling designs for computer experiments with different levels of accuracy. Our construction makes use of Galois fields and orthogonal arrays. As a related topic, I will also discuss the construction of suitable space-filling designs for computer experiments with qualitative and quantitative factors. This is joint work with Boxin Tang at Simon Fraser University and C. F. Jeff Wu at Georgia Tech.
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