Absolute continuity of probability measures and conditional expectations

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A Course of Stochastic Analysis

Part of the book series: CMS/CAIMS Books in Mathematics ((CMS/CAIMS BM,volume 6))

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Abstract

In this chapter a special attention is devoted to the absolute continuity  of measures. It is shown how this notion and the Radon-Nikodym theorem work to define conditional expectations. The list of properties of conditional expectations are given here. In particular, it is emphasized the optimality in the mean-square sense of conditional expectations (see [7], [15], [19], [40], [41] and [45]).

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Correspondence to Alexander Melnikov .

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Melnikov, A. (2023). Absolute continuity of probability measures and conditional expectations. In: A Course of Stochastic Analysis. CMS/CAIMS Books in Mathematics, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-031-25326-3_5

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