Model Theory of Stochastic Processes

Lecture Notes in Logic #14

by Sergio Fajardo, H. Jerome Keisler

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.

Genres: Mathematics

152 pages, Paperback

First published January 1, 2002