Rotated Sphere Packing Designs

Xu He

Journal of the American Statistical Association, 2017, vol. 112, issue 520, 1612-1622

Abstract: We propose a new class of space-filling designs called rotated sphere packing designs for computer experiments. The approach starts from the asymptotically optimal positioning of identical balls that covers the unit cube. Properly scaled, rotated, translated, and extracted, such designs are excellent in maximin distance criterion, low in discrepancy, good in projective uniformity and thus useful in both prediction and numerical integration purposes. We provide a fast algorithm to construct such designs for any numbers of dimensions and points with R codes available online. Theoretical and numerical results are also provided. Supplementary materials for this article are available online.

Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1080/01621459.2016.1222289

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