A note on bounds for the odds theorem of optimal stopping
F. Thomas Bruss · The Annals of Probability · 2003
The odds theorem gives a unified answer to a class of stopping problems on sequences of independent indicator functions. The success probability of the optimal rule is known to be larger than $Re^{-R}$, where R defined in the theorem satisfies $R\ge 1$ in the more interesting case. The following findings strengthen this result by showing that $1/e$ is then a lower bound. Knowing that this is the best possible uniform lower bound motivates this addendum.