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  1. Home
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  3. Model Theory of Stochastic Processes
  • Cited by 2
Publisher:
Cambridge University Press
Online publication date:
March 2017
Print publication year:
2002
Online ISBN:
9781316756126
DOI:
https://doi.org/10.1017/9781316756126
Subjects:
Mathematics, Logic, Categories and Sets, Programming Languages and Applied Logic
Series:
Lecture Notes in Logic (14)
Information

Book description

Since their inception, the Perspectives in Logic and Lecture Notes in Logic series have published seminal works by leading logicians. Many of the original books in the series have been unavailable for years, but they are now in print once again. In this volume, the fourteenth publication in the Lecture Notes in Logic series, Fajardo and Keisler present new research combining probability theory and mathematical logic. It is a general study of stochastic processes using ideas from model theory, a key central theme being the question, 'When are two stochastic processes alike?' The authors assume some background in nonstandard analysis, but prior knowledge of model theory and advanced logic is not necessary. This volume will appeal to mathematicians willing to explore new developments with an open mind.

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Contents

Contents
References
References
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