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Optimal Stopping, Randomized Stopping, and Singular Control with General Information Flow
Linnaeus University, Faculty of Technology, Department of Mathematics.
Univ Oslo, Norway.
Univ Oslo, Norway.
Univ Oslo, Norway.
2022 (English)In: Theory of Probability and its Applications, ISSN 0040-585X, E-ISSN 1095-7219, Vol. 66, no 4, p. 601-612Article in journal (Refereed) Published
Abstract [en]

The purpose of this paper is twofold. First, we extend the well-known relation between optimal stopping and randomized stopping of a given stochastic process to a situation where the available information flow is a filtration with no a priori assumed relation to the filtration of the process. We call these problems optimal stopping and randomized stopping with general information. we introduce a special singular stochastic control problem with general information and show that this is also equivalent to the partial information optimal stopping and randomized stopping problems. Then we show that the solution of this singular control problem can be expressed in terms of partial information variational inequalities.

Place, publisher, year, edition, pages
Siam Publications , 2022. Vol. 66, no 4, p. 601-612
Keywords [en]
optimal stopping, optimal control, singular control, general information flow
National Category
Probability Theory and Statistics
Research subject
Natural Science, Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-110467DOI: 10.1137/S0040585X97T990642ISI: 000752423100008Scopus ID: 2-s2.0-85129821707OAI: oai:DiVA.org:lnu-110467DiVA, id: diva2:1638887
Note

Also published in: Теория вероятностей и ее применения, 2021, Volume 66, Issue 4, Pages 760–773, https://doi.org/10.4213/tvp5514

Available from: 2022-02-18 Created: 2022-02-18 Last updated: 2024-01-25Bibliographically approved

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Agram, Nacira

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