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Bayes' Model of the Best-Choice Problem with Disorder
Author(s) -
Vladimir Mazalov,
Evgeny Ivashko
Publication year - 2011
Publication title -
international journal of stochastic analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.19
H-Index - 28
eISSN - 2090-3340
pISSN - 2090-3332
DOI - 10.1155/2012/697458
Subject(s) - mathematics , bayes' theorem , imperfect , random variable , decision maker , class (philosophy) , distribution (mathematics) , mathematical economics , statistics , artificial intelligence , computer science , bayesian probability , operations research , mathematical analysis , philosophy , linguistics
We consider the best-choice problem with disorderand imperfect observation. The decision-maker observes sequentiallya known number of i.i.d random variables from a known distributionwith the object of choosing the largest. At the random time the distributionlaw of observations is changed. The random variables cannotbe perfectly observed. Each time a random variable is sampled thedecision-maker is informed only whether it is greater than or less thansome level specified by him. The decision-maker can choose at mostone of the observation. The optimal rule is derived in the class ofBayes' strategies

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