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]).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-25326-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25325-6
Online ISBN: 978-3-031-25326-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)