ENGLISH

Understanding Markov chains. Examples and applications

By Nicolas , Privault

Book information

Publisher
Springer. copyright 2018
Year
2018
ISBN
978-981-13-0658-7, 9811306583, 978-981-13-0659-4
Language
english
Format
PDF
Filesize
3 MB (2980116 bytes)
Series
Springer undergraduate mathematics series
Edition
2nd edition
Pages
372\379
Library
kolxo3
Time added
2019-04-25 18:00:00
Distribution (théorie des probabilités).;MarkovProcessus de.

Description

Content: Probability Background.- Gambling Problems.- Random Walks.- Discrete-Time Markov Chains.- First Step Analysis.- Classification of States.- Long-Run Behavior of Markov Chains.- Branching Processes.- Continuous-Time Markov Chains.- Discrete-Time Martingales.- Spatial Poisson Processes.- Reliability Theory.

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