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Two-choice optimal stopping

Part of: Stochastic processes

Published online by Cambridge University Press:  01 July 2016

David Assaf ,
Larry Goldstein  and
Ester Samuel-Cahn
David Assaf
Affiliation:
The Hebrew University of Jerusalem
Larry Goldstein*
Affiliation:
University of Southern California
Ester Samuel-Cahn*
Affiliation:
The Hebrew University of Jerusalem
*
∗∗ Postal address: Department of Mathematics, University of Southern California, 3620 Vermont Avenue, Los Angeles, CA 90089-2532, USA. Email address: [email protected]
∗∗∗ Postal address: Department of Statistics, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem 91905, Israel. Email address: [email protected]
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Abstract

Let Xn,…,X1 be independent, identically distributed (i.i.d.) random variables with distribution function F. A statistician, knowing F, observes the X values sequentially and is given two chances to choose Xs using stopping rules. The statistician's goal is to stop at a value of X as small as possible. Let equal the expectation of the smaller of the two values chosen by the statistician when proceeding optimally. We obtain the asymptotic behaviour of the sequence for a large class of Fs belonging to the domain of attraction (for the minimum) 𝒟(Gα), where Gα(x) = [1 - exp(-xα)]1(x ≥ 0) (with 1(·) the indicator function). The results are compared with those for the asymptotic behaviour of the classical one-choice value sequence , as well as with the ‘prophet value’ sequence

Keywords

Multiple choice stopping ruledomain of attractionprophet value

MSC classification

Primary: 60G40: Stopping times; optimal stopping problems; gambling theory
Type
General Applied Probability
Information
Advances in Applied Probability , Volume 36 , Issue 4 , December 2004 , pp. 1116 - 1147
Copyright
Copyright © Applied Probability Trust 2004 

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Footnotes

∗

Supported by the Israel Science Foundation (grant number 879/01).

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