Model Theory of Stochastic Processes: Lecture Notes in Logic 14
(Book #14 in the Lecture Notes in Logic Series)
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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. The construction of spaces with certain richness properties, defined by insights from model theory, becomes easy using nonstandard methods, but remains difficult or impossible without them.
Format:Paperback
Language:English
ISBN:1568811721
ISBN13:9781568811727
Release Date:January 2002
Publisher:A K PETERS
Length:140 Pages
Weight:0.52 lbs.
Dimensions:0.3" x 7.0" x 8.8"
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