Functional Analysis for Probability and Stochastic Processes: An Introduction
β Scribed by Adam Bobrowski
- Book ID
- 127426500
- Publisher
- Cambridge University Press
- Year
- 2005
- Tongue
- English
- Weight
- 2 MB
- Category
- Library
- ISBN
- 0511130392
No coin nor oath required. For personal study only.
β¦ Synopsis
Designed for students of probability and stochastic processes, as well as for students of functional analysis, specifically, this volume presents some chosen parts of functional analysis that can help clarify probability and stochastic processes. The subjects range from basic Hilbert and Banach spaces, through weak topologies and Banach algebras, to the theory of semigroups of bounded linear operators. Numerous standard and non-standard examples and exercises make the book suitable as a course textbook or for self-study.
π SIMILAR VOLUMES
This is an introductory textbook on probability theory and its applications. Basic concepts such as probability measure, random variable, distribution, and expectation are fully treated without technical complications. Both the discrete and continuous cases are covered, the elements of calculus bein
This is an introductory textbook on probability theory and its applications. Basic concepts such as probability measure, random variable, distribution, and expectation are fully treated without technical complications. Both the discrete and continuous cases are covered, the elements of calculus bein
## Abstract Let __X~a,b~__ be nonnegative random variables with the property that __X~a,b~ β¦ X~a,c~ + X~c.b~__ for all 0__β¦ a < c < b β¦ T__, where __T >__ 0 is fixed. We define __M~a,b~ =__ sup {__X~a,c~: a < c β¦ h__} and establish bounds for __P__[__M~a,b~ β§ Ξ»__] in terms of given bounds for __P[X