Model Theory of Stochastic Processes

This book PDF is perfect for those who love Mathematics genre, written by Sergio Fajardo and published by Cambridge University Press which was released on 30 March 2017 with total hardcover pages 136. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Model Theory of Stochastic Processes books below.

Model Theory of Stochastic Processes
Model Theory of Stochastic Processes
Author : Sergio Fajardo
File Size : 46,9 Mb
Publisher : Cambridge University Press
Language : English
Release Date : 30 March 2017
ISBN : 9781108619264
Pages : 136 pages
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Model Theory of Stochastic Processes by Sergio Fajardo Book PDF 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 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.

Model Theory of Stochastic Processes

Model Theory of Stochastic Processes by Sergio Fajardo,H. Jerome Keisler

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

Get Book
Model Theory of Stochastic Processes

Model Theory of Stochastic Processes 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

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