Maximizing the expected duration of owning a relatively best object in a
Poisson process with rankable observations
Aiko Kurushima and Katsunori Ano
Source: J. Appl. Probab.
Volume 46, Number 2
(2009), 402-414.
Abstract
Suppose that an unknown number of objects arrive sequentially
according to a Poisson process with random intensity λ on
some fixed time interval [0,T]. We assume a gamma prior density
Gλ(r, 1/a) for λ. Furthermore, we suppose that
all arriving objects can be ranked uniquely among all preceding
arrivals. Exactly one object can be selected. Our aim is to find a
stopping time (selection time) which maximizes the time during
which the selected object will stay relatively best. Our main
result is the following. It is optimal to select the ith object
that is relatively best and arrives at some time si(r)
onwards. The value of si(r)
can be obtained for each r and i as the unique root of a
deterministic equation.
Primary Subjects: 60G40
Secondary Subjects: 62L15
Keywords: Optimal stopping problem; secretary problem; Poisson arrival; duration problem
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Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.jap/1245676096
Digital Object Identifier: doi:10.1239/jap/1245676096
Zentralblatt MATH identifier:
05578815
References
Ano, K. (2000). A Poisson arrival selection problem for Gamma prior intensity with parameter $ r=2 $. In Proc. Internat. Conf. Appl. Stoch. System Modeling (Kyoto, 2000), pp. 10--17.
Bruss, F. T. (1987). On an optimal selection problem by Cowan and Zabczyk. J. Appl. Prob. 24, 918--928.
Mathematical Reviews (MathSciNet):
MR913832
Bruss, F. T. and Rogers, L. C. G. (1991). Pascal processes and their characterization. Stoch. Proc. Appl. 37, 331--338.
Chow, Y. S., Robbins, H. and Siegmund, D. (1971). Great Expectations: The Theory of Optimal Stopping. Houghton Mifflin, Boston, MA.
Mathematical Reviews (MathSciNet):
MR331675
Cowan, R. and Zabczyk, J. (1978). An optimal selection problem associated with the Poisson process. Theory Prob. Appl. 23, 606--614.
Mathematical Reviews (MathSciNet):
MR509733
Ferguson, T. S. (1989). Who solved the secretary problem? Statist. Sci. 4, 282--296.
Ferguson, T. S. (1992). Optimal Stopping and Applications. Available at http://www.math.ucla.edu/~ tom/ Stopping/Contents.html.
Ferguson, T. S., Hardwick, J. P. and Tamaki, M. (1992). Maximizing the duration of owning a relatively best object. In Strategies for Sequential Search and Selection in Real Time (Amherst, MA, (1990); Contemp. Math. 125), American Mathematical Society, Providence, RI, pp. 37--57.
Kurushima, A. and Ano, K. (2003). A Poisson arrival selection problem for gamma prior intensity with natural number parameter. Sci. Math. Japonica 57, 217--231.
Porosinski, A. (1987). The full-information best choice problem with a random number of observations. Stoch. Process. Appl. 24, 293--307.
Mathematical Reviews (MathSciNet):
MR893177
Presman, È. L. and Sonin, I. M. (1972). The problem of best choice in the case of a random number of objects. Theory Prob. Appl. 17, 695--706.
Mathematical Reviews (MathSciNet):
MR314177
Ross, S. M. (1970). Applied Probability Models and Optimization Applications. Holden-Day, San Francisco, CA.
Mathematical Reviews (MathSciNet):
MR264792
Szajowski, K. (2007). A game version of the Cowan-Zabczyk-Bruss' problem. Statist. Prob. Lett. 77, 1683--1689.