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      Optional and predictable projections of normal integrands and convex-valued processes

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          Abstract

          This article studies optional and predictable projections of integrands and convex-valued stochastic processes. The existence and uniqueness are shown under general conditions that are analogous to those for conditional expectations of integrands and random sets. In the convex case, duality correspondences between the projections and projections of epigraphs are given. Consistently with the general theory of stochastic processes, projections are not constructed using reference measures on the optional and predictable sigma-algebras.

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          Journal
          1508.02176

          Numerical methods,Probability
          Numerical methods, Probability

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