Sequentially Refined Latin Hypercube Designs: Reusing Every Point

Jin Xu, Jiajie Chen, Peter Z.G. Qian

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The use of iteratively enlarged Latin hypercube designs for running computer experiments has recently gained popularity in practice. This approach conducts an initial experiment with a computer code using a Latin hypercube design and then runs a follow-up experiment with additional runs elaborately chosen so that the combined design set for the two experiments forms a larger Latin hypercube design. This augmenting process can be repeated multiple stages, where in each stage the augmented design set is guaranteed to be a Latin hypercube design. We provide a theoretical framework to put this approach on a firm footing. Numerical examples are given to corroborate the derived theoretical results. Supplementary materials for this article are available online.

Original languageEnglish
Pages (from-to)1696-1706
Number of pages11
JournalJournal of the American Statistical Association
Volume110
Issue number512
DOIs
StatePublished - 2 Oct 2015

Keywords

  • Computer experiments
  • Design of experiments
  • Numerical integration
  • Sequential evaluation

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