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 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 ...
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