Stopping Times and Directed Processes
£50.99
Part of Encyclopedia of Mathematics and its Applications
- Authors:
- G. A. Edgar, Ohio State University
- Louis Sucheston, Ohio State University
- Date Published: April 2010
- availability: Available
- format: Paperback
- isbn: 9780521135085
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The notion of 'stopping times' is a useful one in probability theory; it can be applied to both classical problems and fresh ones. This book presents this technique in the context of the directed set, stochastic processes indexed by directed sets, and many applications in probability, analysis and ergodic theory. Martingales and related processes are considered from several points of view. The book opens with a discussion of pointwise and stochastic convergence of processes, with concise proofs arising from the method of stochastic convergence. Later, the rewording of Vitali covering conditions in terms of stopping times clarifies connections with the theory of stochastic processes. Solutions are presented here for nearly all the open problems in the Krickeberg convergence theory for martingales and submartingales indexed by directed set. Another theme of the book is the unification of martingale and ergodic theorems.
Read more- A unified treatment of multiparameter martingale and ergodic theory
- Martingale and ergodic theories are HOT topics
- Applies the theory to classical mathematical problems as well as fresh ones
- Encyclopedic coverage
Customer reviews
31st Jul 2014 by Mrchen
The book opens with a discussion of pointwise and stochastic convergence of processes with concise proofs arising from the method of stochastic convergence
Review was not posted due to profanity
×Product details
- Date Published: April 2010
- format: Paperback
- isbn: 9780521135085
- length: 444 pages
- dimensions: 234 x 156 x 23 mm
- weight: 0.62kg
- availability: Available
Table of Contents
Introduction
1. Stopping times
2. Infinite measure and Orlicz spaces
3. Inequalities
4. Directed index set
5. Banach-valued random variables
6. Martingales
7. Derivation
8. Pointwise ergodic theorems
9. Multiparameter processes
References
Index.
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