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A best-choice problem with multiple selectors

Part of: Sequential methods Stochastic processes

Published online by Cambridge University Press:  14 July 2016

Hagit Glickman
Hagit Glickman*
Affiliation:
The Hebrew University of Jerusalem
*
∗Postal address: Department of Statistics, Hebrew University, Jerusalem 91905, Israel. Email address: hagit_glickman@hotmail.com
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Abstract

Consider a situation where a known number, n, of objects appear sequentially in a random order. At each stage, the present object is presented to d ≥ 2 different selectors, who must jointly decide whether to select or reject it, irrevocably. Exactly one object must be chosen. The observation at stage j is a d-dimensional vector R(j) = (R1(j),…, Rd(j)), where Ri(j) is the relative rank of the jth object, by the criterion of the ith selector. The decision whether to stop or not at time j is based on the d-dimensional random vectors R(1),…, R(j). The criteria according to which each selector ranks the objects can either be dependent or independent. Although the goal of each selector is to maximize the probability of choosing the best object from his/her point of view, all d selectors must cooperate and chose the same object. The objective studied here is the maximization of the minimum over the d individual probabilities of choosing the best object. We exhibit the structure of the optimal rule. For independent criteria we give a full description of the rule and show that the optimal value tends to d-d/(d-1), as n → ∞. Furthermore, we show that as n → ∞, the liminf of the values under negatively associated criteria is bounded below by d-d/(d-1).

Keywords

Secretary problemsbest-choicemultiple criteriamultiple chooserscooperative stopping rulesmultivariate stopping rules

MSC classification

Primary: 60G40: Stopping times; optimal stopping problems; gambling theory
Secondary: 62L15: Optimal stopping
Type
Research Papers
Information
Journal of Applied Probability , Volume 37 , Issue 3 , September 2000 , pp. 718 - 735
Copyright
Copyright © Applied Probability Trust 2000 

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