Bayesian inferences on uncertain ranks and orderings: application to ranking players and lineups

HIGHLIGHTS

  • who: AndrĂ©s F. Barrientos and collaborators from the (UNIVERSITY) have published the research: Bayesian Inferences on Uncertain Ranks and Orderings: Application to Ranking Players and Lineups, in the Journal: (JOURNAL)
  • what: Motivated by this the authors propose a strategy for characterizing uncertainty in order relationships among players and the approach adapts to scenarios in which uncertainty in ordering is high by producing more conservative results that improve interpretability. In Section 5.2, the authors provide some examples of how typical approaches lead to ordering statements which have posterior probability that are essentially zero. Not . . .

     

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