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Uniqueness of maximum values in discrete distributions

Part of: Combinatorial probability

Published online by Cambridge University Press:  14 July 2016

Patrik Floréen  and
Taneli Huuskonen
Patrik Floréen*
Affiliation:
University of Helsinki
Taneli Huuskonen*
Affiliation:
University of Helsinki
*
∗ Postal address: Department of Computer Science, P.O. Box 26, SF-00014 University of Helsinki, Finland.
∗∗ Postal address: Department of Mathematics, P.O. Box 4, SF-00014 University of Helsinki, Finland.
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Abstract

We discuss the probability that among a number of random discrete values there is a unique maximal value. Some general inequalities are derived. As an application, we study the limit behavior of the probability of uniqueness for a subexponential number of binomially distributed variables.

Keywords

ASYMPTOTIC PROBABILITIESBINOMIAL DISTRIBUTIONSEXTREME VALUE THEORYHAMMING MEMORY NETWORKS

MSC classification

Primary: 60C05: Combinatorial probability
Type
Research Papers
Information
Journal of Applied Probability , Volume 31 , Issue 3 , September 1994 , pp. 757 - 764
Copyright
Copyright © Applied Probability Trust 1994 

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Footnotes

Work supported by the Academy of Finland.

References

Floréen, P. (1991) The convergence of Hamming memory networks. IEEE Trans . Neural Networks 2, 449–457.CrossRefGoogle Scholar
Hofri, M. (1987) Probabilistic Analysis of Algorithms. Springer-Verlag, New York.CrossRefGoogle Scholar