Functional Analysis For Probability And Stochastic Processes

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Functional Analysis for Probability and Stochastic Processes

Author: Adam Bobrowski
language: en
Publisher: Cambridge University Press
Release Date: 2005-08-11
This text presents selected areas of functional analysis that can facilitate an understanding of ideas in probability and stochastic processes. Topics covered include basic Hilbert and Banach spaces, weak topologies and Banach algebras, and the theory ofsemigroups of bounded linear operators.
Functional Analysis for Probability and Stochastic Processes

This text is designed both for students of probability and stochastic processes, and for students of functional analysis. Numerous standard and non-standard examples and exercises make it suitable for both a textbook for a course as well as for self-study.
An Introduction to Probability and Stochastic Processes

Author: James L. Melsa
language: en
Publisher: Courier Corporation
Release Date: 2013-01-01
Detailed coverage of probability theory, random variables and their functions, stochastic processes, linear system response to stochastic processes, Gaussian and Markov processes, and stochastic differential equations. 1973 edition.