Abstract
Chapter 6 is completely devoted to a discrete time stochastic analysis. It contains the key notions adapted to discrete time like stochastic basis, filtration, predictability, stopping times, martingales, sub- and supermartingales, local densities of probability measures, discrete stochastic integrals and stochastic exponents. It is stated the Doob decomposition for stochastic sequences, maximal inequalities, and other Doob’s theorems. The developed martingale technique is further applied to prove several asymptotical properties for martingales and submartingales (see [1], [7], [8], [10], [15], [40], and [45]).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.