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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

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Can conditional distributions with respect to a sufficient sub-σ-algebra be represent...

Let (Ω,F) be a measurable space, and let P be a collection of probability measures on this space. A sub-σ-algebra GF is said to be s …
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