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Model theory of stochastic processes

Author: Sergio Fajardo; H Jerome Keisler
Publisher: Cambridge : Cambridge University Press, 2016.
Series: Lecture notes in logic, 14.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sergio Fajardo; H Jerome Keisler
ISBN: 9781316756126 1316756122
OCLC Number: 1018089664
Notes: Title from publisher's bibliographic system (viewed on 14 Apr 2017).
Description: 1 online resource (xii, 136 pages) : PDF file(s).
Contents: Introduction; 1. Adapted distributions; 2. Hyperfinite adapted spaces; 3. Saturated spaces; 4. Comparing stochastic processes; 5. Definability in adapted spaces; 6. Elementary extensions; 7. Rich adapted spaces; 8. Adapted neometric spaces; 9. Enlarging adapted spaces; References.
Series Title: Lecture notes in logic, 14.
Responsibility: Sergio Fajardo, H. Jerome Keisler.

Abstract:

Combining probability theory and mathematical logic, this volume is a general study of stochastic processes using ideas from model theory. The authors assume some background in nonstandard analysis,  Read more...

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