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Urn sampling distributions giving alternate correspondences between two optimal stopping problems

Part of:Stochastic processesSequential methods

Published online by Cambridge University Press:  19 September 2016

Mitsushi Tamaki
Mitsushi Tamaki*
Affiliation:
Aichi University
*
* Postal address: Department of Business Administration, Aichi University, Nagoya Campus, Hiraike 4-60-6, Nakamura, Nagoya, Aichi, 453-8777, Japan. Email address: tamaki@vega.aichi-u.ac.jp
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Abstract

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The best-choice problem and the duration problem, known as versions of the secretary problem, are concerned with choosing an object from those that appear sequentially. Let (B,p) denote the best-choice problem and (D,p) the duration problem when the total number N of objects is a bounded random variable with prior p=(p 1, p 2,...,p n ) for a known upper bound n. Gnedin (2005) discovered the correspondence relation between these two quite different optimal stopping problems. That is, for any given prior p, there exists another prior q such that (D,p) is equivalent to (B,q). In this paper, motivated by his discovery, we attempt to find the alternate correspondence {p(m),m≥0}, i.e. an infinite sequence of priors such that (D,p(m-1)) is equivalent to (B,p(m)) for all m≥1, starting with p(0)=(0,...,0,1). To be more precise, the duration problem is distinguished into (D 1,p) or (D 2,p), referred to as model 1 or model 2, depending on whether the planning horizon is N or n. The aforementioned problem is model 1. For model 2 as well, we can find the similar alternate correspondence {p[m],m≥ 0}. We treat both the no-information model and the full-information model and examine the limiting behaviors of their optimal rules and optimal values related to the alternate correspondences as n→∞. A generalization of the no-information model is given. It is worth mentioning that the alternate correspondences for model 1 and model 2 are respectively related to the urn sampling models without replacement and with replacement.

Keywords

Secretary problembest-choice problemalternate correspondenceduration problemBruss extension

MSC classification

Primary:60G40: Stopping times; optimal stopping problems; gambling theory
Secondary:62L15: Optimal stopping

Information

Type
Research Article
Information
Advances in Applied Probability , Volume 48 , Issue 3 , September 2016, pp. 726 - 743
Copyright
Copyright © Applied Probability Trust 2016 

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