Abstract
We consider stochastic differential equations depending on parameters whose uncertainty is modeled by random compact sets. Several approaches are discussed how to construct set-valued stochastic processes from the solutions. The induced lower and upper probabilities are compared to a set-valued set function and a set of probability measures constructed from the distributions of the solutions and the selections of the random set.
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