Abstract
We consider the problem of a researcher who successively uses some random mechanism to select topics to work on for certain time periods, where a random non-increasing output rate is associated to each topic. The objective is to find a strategy, i.e., a sequence of stopping times (sojourn times for the topics) so as to maximize the long-run average expected yield per unit time. If the chosen topics form an IID sequence, a stationary strategy, consisting of independent replications of a certain threshold stopping time, is optimal. This strategy however requires a complete knowledge of the underlying probability
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
