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Stochastic Processes and their Applications
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Stochastic Processes and their Applications
Article . 2007
License: Elsevier Non-Commercial
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Stochastic Processes and their Applications
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Article . 2005
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Non-stopping times and stopping theorems

Authors: Nikeghbali, A;

Non-stopping times and stopping theorems

Abstract

Given a random time, we characterize the set of martingales for which the stopping theorems still hold. We also investigate how the stopping theorems are modified when we consider arbitrary random times. To this end, we introduce some families of martingales with remarkable properties. We also investigate, in the Brownian setting, the relationships between a given random time and the underlying Brownian Motion in the progressively enlarged filtration with respect to this random time.

Typos corrected. Close to the published version

Country
Switzerland
Related Organizations
Keywords

Statistics and Probability, Stopping times; optimal stopping problems; gambling theory, 05C38, 15A15, 15A18, Martingales with continuous parameter, random times, Martingales, optional stopping theorem, Random times, 510 Mathematics, 2604 Applied Mathematics, martingales, Modelling and Simulation, FOS: Mathematics, Optional stopping theorem, 2613 Statistics and Probability, Zeros of continuous martingales, Applied Mathematics, Probability (math.PR), zeros of continuous martingales, 10123 Institute of Mathematics, Progressive enlargement of filtrations, progressive enlargement of filtrations, Mathematics - Probability, 2611 Modeling and Simulation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green
hybrid