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Randomized optimal stopping algorithms and their convergence analysis

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 Added by Denis Belomestny
 Publication date 2020
and research's language is English




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In this paper we study randomized optimal stopping problems and consider corresponding forward and backward Monte Carlo based optimisation algorithms. In particular we prove the convergence of the proposed algorithms and derive the corresponding convergence rates.



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