Hypothesis Testing with Communication Constraints

Rudolf Ahlswede, I. Csiszár

Research output: Contribution to journalArticle

118 Citations (Scopus)


A new class of statistical problems is introduced, involving the presence of communication constraints on remotely collected data. Bivariate hypothesis testing, H0: PXY against [formula omitted], is considered when the statistician has direct access to Y data but can be informed about X data only at a prescribed finite rate R. For any fixed R the smallest achievable probability of an error of type 2 with the probability of an error of type 1 being at most e is shown to go to zero with an exponential rate not depending on e as the sample size goes to infinity. A single-letter formula for the exponent is given when [formula omitted] (test against independence), and partial results are obtained for general [formula omitted]. An application to a search problem of Chernoff is also given.

Original languageEnglish
Pages (from-to)533-542
Number of pages10
JournalIEEE Transactions on Information Theory
Issue number4
Publication statusPublished - Jul 1986

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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