Model Theory of Stochastic Processes
Lecture Notes in Logic 14
Published on 1. January 2002
140 pages
978-1-040-19027-2 (ISBN)
Description
This book presents new research in probability theory using ideas from mathematical logic. It is a general study of stochastic processes on adapted probability spaces, employing the concept of similarity of stochastic processes based on the notion of adapted distribution. The authors use ideas from model theory and methods from nonstandard analysis
More details
Language
English
Place of publication
Florida
United States
Publishing group
Taylor & Francis Inc
File size
0,42 MB
ISBN-13
978-1-040-19027-2 (9781040190272)
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Schweitzer Classification
Other editions
Additional editions
Book
01/2002
1st Edition
A K Peters
€70.70
Shipment within 3-4 weeks
Persons
Sergio Fajardo Department of Mathematics, University of Los Andes, Bogota, Colombia. H. Jerome Keisler Department of Mathematics, University of Wisconsin, Madison, Wisconsin, USA.
Content
Introduction Chapter 1. Adapted distributions Chapter 2. Hyperfnite adapted spaces Chapter 3. Saturated spaces Chapter 4. Comparing stochastic processes Chapter 5. Defnability in adapted spaces Chapter 6. Elementary extensions Chapter 7. Rich adapted spaces Chapter 8. Adapted neometric spaces Chapter 9. Enlarging saturated spaces
