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A Note on a Lower Bound for the Multiplicative Odds Theorem of Optimal Stopping

Published online by Cambridge University Press:  30 January 2018

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: [email protected]
∗∗ Postal address: Department of Mathematical Sciences, Shibaura Institute of Technology, Fukasaku, Minuma-ku, Saitama-shi, Saitama, 337-8570, Japan.
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Abstract

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In this note we present a bound of the optimal maximum probability for the multiplicative odds theorem of optimal stopping theory. We deal with an optimal stopping problem that maximizes the probability of stopping on any of the last m successes of a sequence of independent Bernoulli trials of length N, where m and N are predetermined integers satisfying 1 ≤ m < N. This problem is an extension of Bruss' (2000) odds problem. In a previous work, Tamaki (2010) derived an optimal stopping rule. We present a lower bound of the optimal probability. Interestingly, our lower bound is attained using a variation of the well-known secretary problem, which is a special case of the odds problem.

Type
Research Article
Copyright
© Applied Probability Trust 

References

Bruss, F. T. (2000). Sum the odds to one and stop. Ann. Prob. 28, 13841391.Google Scholar
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Maclaurin, C. (1729). A second letter from Mr. Colin Maclaurin to Martin Folkes, Esq; Concerning the roots of equations, with the demonstration of other rules in algebra. Philos. Trans. 36, 5996.Google Scholar
Tamaki, M. (2010). Sum the multiplicative odds to one and stop. J. Appl. Prob. 47, 761777.CrossRefGoogle Scholar