Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-27T08:18:47.378Z Has data issue: false hasContentIssue false

Compare the ratio of symmetric polynomials of odds to one and stop

Published online by Cambridge University Press:  04 April 2017

Tomomi Matsui*
Affiliation:
Tokyo Institute of Technology
Katsunori Ano*
Affiliation:
Shibaura Institute of Technology
*
* Postal address: Department of Social Engineering, Graduate School of Decision Science and Technology, Tokyo Institute of Technology, Ookayama, Meguro-ku, Tokyo, 152-8550, Japan. Email address: matsui.t.af.@m.titech.ac.jp
** Postal address: Department of Mathematical Sciences, Shibaura Institute of Technology, Fukasaku, Minuma-ku, Saitama-shi, Saitama, 337-8570, Japan.

Abstract

In this paper we deal with an optimal stopping problem whose objective is to maximize the probability of selecting k out of the last ℓ successes, given a sequence of independent Bernoulli trials of length N, where k and ℓ are predetermined integers satisfying 1≤k≤ℓ<N. This problem includes some odds problems as special cases, e.g. Bruss’ odds problem, Bruss and Paindaveine’s problem of selecting the last ℓ successes, and Tamaki’s multiplicative odds problem for stopping at any of the last m successes. We show that an optimal stopping rule is obtained by a threshold strategy. We also present the tight lower bound and an asymptotic lower bound for the probability of a win. Interestingly, our asymptotic lower bound is attained by using a variation of the well-known secretary problem, which is a special case of the odds problem. Our approach is based on the application of Newton’s inequalities and optimization technique, which gives a unified view to the previous works.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Bartoszyński, R. (1974).On certain combinatorial identities.Colloq. Math. 30,289293.Google Scholar
[2] Bruss, F. T. (1984).Patterns of relative maxima in random permutations.Ann. Soc. sci. Brux. 98,1928.Google Scholar
[3] Bruss, F. T. (2000).Sum the odds to one and stop.Ann. Prob. 28,13841391.Google Scholar
[4] Bruss, F. T. (2003).A note on bounds for the odds theorem of optimal stopping.Ann. Prob. 31,18591861.Google Scholar
[5] Bruss, F. T. and Paindaveine, D. (2000).Selecting a sequence of last successes in independent trials.J. Appl. Prob. 37,389399.Google Scholar
[6] Chow, Y. S., Robbins, H. and Siegmund, D. (1971).Great Expectations: The Theory of Optimal Stopping,Houghton Mifflin,Boston, MA.Google Scholar
[7] Ferguson, T. S. (2006).Optimal stopping and applications. Unpublished manuscript. Available at http://www.math.ucla.edu/~tom/Stopping/Contents.html.Google Scholar
[8] Ferguson, T. S. (2008).The sum-the-odds theorem with application to a stopping game of Sakaguchi. Preprint. Available at http://www.math.ucla.edu/~tom/papers/oddsThm.pdf.Google Scholar
[9] Gilbert, J. P. and Mosteller, F. (1966).Recognizing the maximum of a sequence.J. Amer. Statist. Assoc. 61,3573.Google Scholar
[10] Matsui, T. and Ano, K. (2014).A note on a lower bound for the multiplicative odds theorem of optimal stopping.J. Appl. Prob. 51,885889.Google Scholar
[11] Newton, I. (1707).Arithmetica Universalis, sive de compositione et resolutione arithmetica liber Google Scholar
[12] Sakaguchi, M. (1978).Dowry problems and OLA policies.Rep. Statist. Appl. Res. Japan. Un. Sci. Eng. 25,2428.Google Scholar
[13] Tamaki, M. (2010).Sum the multiplicative odds to one and stop.J. Appl. Prob. 47,761777.Google Scholar