Abstract
This article tries to unify best choice problems under total ignorance of both the candidates, quality distribution and the distribution of the number of candidates. The result is what we shall call the $e^{-1}$-law because of the multiple role which is played by $e^{-1}$, and this in a more general context as only in the solution of the classical secretary problem. The unification is possible whenever best choice problems can be redefined as continuous time decision problems on conditionally independent arrivals. We shall also give several examples to illustrate how the approach and its implications compare with other models.
Citation
F. Thomas Bruss. "A Unified Approach to a Class of Best Choice Problems with an Unknown Number of Options." Ann. Probab. 12 (3) 882 - 889, August, 1984. https://doi.org/10.1214/aop/1176993237
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