Optimal stopping problems constitute a pivotal area in applied mathematics and statistics, where the objective is to determine the most opportune moment to terminate a stochastic process in order to ...

His current projects involve real-time control of stochastic processes which not only involve implementation of Kalman Filters but also adaptive strategies for self-tuning and disturbance ...

This is a preview. Log in through your library . Abstract In this paper we discuss a counter system whose output is a stochastic point process such that the time intervals between pairs of successive ...

This research introduces methods of stochastic decision processes into location analysis. The specific model concerns making dynamic relocation decisions for a new facility (server) that must interact ...