Algorithms for approximate conditional inference

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a method for listing the sample space for a conditional distribution in a discrete generalized linear model. This tabulation is used in conjunction with saddlepoint methods to approximate the associated conditional probabilities. These probabilities are used to calculate conditional p-values.

Original languageEnglish (US)
Pages (from-to)121-126
Number of pages6
JournalStatistics and Computing
Volume13
Issue number2
DOIs
StatePublished - Apr 2003

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Computational Theory and Mathematics

Keywords

  • Canonical exponential family
  • Exact conditional inference
  • Linear programming
  • Saddlepoint approximations
  • Significance testing

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