The objective of this paper is to present two theorems which are
directly applicable to optimal stopping problems involving independent
indicator functions. The proofs are elementary. One implication of the results
is a convenient solution algorithm to obtain the optimal stopping rule and the
value.We will apply it to several examples of sequences of independent
indicators, including sequences of random length. Another interesting
implication of the results is that the well-known asymptotic value $1 / e$ for
the classical best-choice problem is in fact a typical lower boundin a much
more general class of problems.
@article{1019160340,
author = {Bruss, F. Thomas},
title = {Sum the odds to one and stop},
journal = {Ann. Probab.},
volume = {28},
number = {1},
year = {2000},
pages = { 1384-1391},
language = {en},
url = {http://dml.mathdoc.fr/item/1019160340}
}
Bruss, F. Thomas. Sum the odds to one and stop. Ann. Probab., Tome 28 (2000) no. 1, pp. 1384-1391. http://gdmltest.u-ga.fr/item/1019160340/