Two-dimensional projection uniformity for space-filling designs

Sixu Liu, Yaping Wang, Fasheng Sun

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We investigate a space-filling criterion based on (Formula presented.) -type discrepancies, namely the uniform projection criterion, aiming at improving designs' two-dimensional projection uniformity. Under a general reproducing kernel, we establish a formula for the uniform projection criterion function, which builds a connection between rows and columns of the design. For the commonly used discrepancies, we further use this formula to represent the two-dimensional projection uniformity in terms of the (Formula presented.) -distances of U-type designs. These results generalize existing works and reveal new links between the two seemingly unrelated criteria of projection uniformity and the maximin (Formula presented.) -distance for U-type designs. We also apply the obtained results to study several families of space-filling designs with appealing projection uniformity. Because of good projected space-filling properties, these designs are well adapted for computer experiments, especially for the case where not all the input factors are active.

Original languageEnglish
Pages (from-to)293-311
Number of pages19
JournalCanadian Journal of Statistics
Volume51
Issue number1
DOIs
StatePublished - Mar 2023

Keywords

  • Computer experiment
  • Latin hypercube
  • discrepancy
  • maximin distance
  • uniform projection design

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