Abstract
A monotone stopping problem is considered for stochastic processes in a semimartingale representation. Such a representation allows a direct infinitesimal characterization of the optimal stopping time. Transformations of such processes are investigated, which leave the semimartingale property unchanged. One of these transformations is a change of tiltration which leads to the stopping problem with partial information. Findly an application is discussed.
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