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 ...
We consider generalisations of two classical stochastic scheduling models, namely the discounted branching bandit and the discounted multi-armed bandit, to the case where the collection of machines ...
The Annals of Applied Probability, Vol. 28, No. 1 (February 2018), pp. 1-34 (34 pages) In this paper, we aim to develop the stochastic control theory of branching diffusion processes where both the ...
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