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This article is cited in 12 scientific papers (total in 12 papers)
A multiple optimal stopping rule for sums of independent random variables
M. L. Nikolaev, G. Yu. Sofronov
Abstract:
We consider multiple optimal stopping rules for a finite (with horizon $N$) sequence of independent random variables. We are interested in finding a stopping rule which maximises the expected sum of $k$, $1<k<N$, observations. The optimal stopping rule and the value of the game are obtained. This result can be applied in the house-selling problem and in behavioural ecology problems.
Received: 14.03.2007
Citation:
M. L. Nikolaev, G. Yu. Sofronov, “A multiple optimal stopping rule for sums of independent random variables”, Diskr. Mat., 19:4 (2007), 42–51; Discrete Math. Appl., 17:5 (2007), 463–473
Linking options:
https://www.mathnet.ru/eng/dm976https://doi.org/10.4213/dm976 https://www.mathnet.ru/eng/dm/v19/i4/p42
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Abstract page: | 552 | Full-text PDF : | 230 | References: | 49 | First page: | 7 |
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