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Titlebook: Seminar on Stochastic Processes, 1985; E. Çinlar,K. L. Chung,J. Glover Book 1986 Springer Science+Business Media New York 1986 Brownian ex

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Strict Past Conditioning at Arbitrary Times,the process (X..,X.).. In [3] Pitman investigated the stochastic dependence of . and θ. for arbitrary stopping times T. Here we shall look at this question for arbitrary times T. The main result is formula (3) below which contains both Weil’s result, its extension to arbitrary hitting times of (X.,X
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Discontinuous Time Changes and Duality for Markov Processes,inuous natural additive functionals were discussed. Both continuous and discontinuous natural time changes share the features.In this paper, we consider the general case of time changes based on additive functionals which have a quasi-left-continuous purely discontinuous component, and present for t
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The Cereteli-Davis Solution to the H1-Embedding Problem and an Optimal Embedding in Brownian Motionhat BT has law μ and . is integrable. This result, due to Burgess Davis (the classical analogue was first solved by O. D. Cereteli), leads naturally to a stopping time, T, that stochastically minimizes both sup.B. and -inf.B..
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Thinness and Hyperthinness,and probabilistic potential theory. There are many examples: sets of first category, sets of measure zero, polar sets, are all examples of such “small” sets. In many situations one has to compare these sets: although a set of first category is small and so is a set of measure zero, these sets are no
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Infinite Excessive and Invariant Measures,sible find another contraction semigroup T. such that . and . The most restrictive condition under which this problem was solved is the finiteness of the excessive measure ν. This condition excludes such an interesting case as the semigroup T. generated by the transition function of Wiener’s process
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Brownian Occupation Measures on Compact Manifolds,cess .with continuous sample paths and generator . where Δ. stands for the Laplace-Beltrami operator, associated with .. (If necessary we indicate by the subscript ., that an object is associated with the metric ..) Notice that the metric and the vector field can be recovered from the Brownian motio
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