A multiple optimal stopping rule for sums of independent random variables

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.