An Introduction To Markov Processes

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An Introduction to Markov Processes

An Introduction to Markov Processes
Author :
Publisher : Springer Science & Business Media
Total Pages : 196
Release :
ISBN-10 : 3540234519
ISBN-13 : 9783540234517
Rating : 4/5 (517 Downloads)
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Book Synopsis An Introduction to Markov Processes by : Daniel W. Stroock

Download or read book An Introduction to Markov Processes written by Daniel W. Stroock and published by Springer Science & Business Media. This book was released on 2005-03-30 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding sophisticated measure theory Leads the reader to a rigorous understanding of basic theory


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Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model