On a class of best-choice problems

Boris A. Berezovskiy, Yuliy M. Baryshnikov, Alexander V. Gnedin

Research output: Contribution to journalArticlepeer-review


Consideration is given to a new generalized version of the familiar best-choice problem, related to the well-known collective-choice-theory conception of choice function. Certain classes of stopping rules are introduced, and the probability of selecting one of the best (with respect to a given choice function) alternatives is estimated. This work is an approach to choice theory from the viewpoint of statistical sequential analysis.

Original languageEnglish (US)
Pages (from-to)111-127
Number of pages17
JournalInformation Sciences
Issue number1
StatePublished - Aug 1986
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence


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