Sampling large tables with constraints

Ian H. Dinwoodie, Yuguo Chen

Research output: Contribution to journalArticlepeer-review


We describe a new sequential sampling method for constrained multi-way tables, with foundations in linear programming and sequential normal sampling. The method builds on techniques from other sequential algorithms in a way that scales well and can handle more challenging data sets. We apply the new algorithm to data to demonstrate its efficiency.

Original languageEnglish (US)
Pages (from-to)1591-1609
Number of pages19
JournalStatistica Sinica
Issue number4
StatePublished - Oct 2011


  • Conditional inference
  • Contingency table
  • Exact test
  • Hypergeometric distribution
  • Importance sampling
  • Multivariate normal distribution
  • Sequential sampling

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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