Understanding Markov chains

Understanding Markov chains: examples and applications

by Privault, Nicolas

Type Book
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This book provides an undergraduate introduction to discrete andcontinuous-time Markov chains and their applications. A large focus is placed on the first step analysistechnique and its applications to average hitting times and ruin probabilities. Classical topics such as recurrence and transience, stationary and limiting distributions, as well as branching processes, are also covered. Two major examples (gambling processes and random walks) are treated in detail from the beginning, before the …

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Title Statements

  • Full title :Understanding Markov chains : examples and applications / Nicolas Privault.

Summary

This book provides an undergraduate introduction to discrete andcontinuous-time Markov chains and their applications. A large focus is placed on the first step analysistechnique and its applications to average hitting times and ruin probabilities. Classical topics such as recurrence and transience, stationary and limiting distributions, as well as branching processes, are also covered. Two major examples (gambling processes and random walks) are treated in detail from the beginning, before the general theory itself is presented in the subsequent chapters. An introduction to discrete-time martingales and their relation to ruin probabilities and mean exit times is also provided, and the book includes a chapter on spatial Poisson processes with some recent results on moment identities and deviation inequalities for Poisson stochastic integrals. The concepts presented are illustrated by examples and by 72 exercises and their complete solutions.

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Edition Statements

  • Publication Date:2013.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Singapore
  • Language:eng
  • Publication Date:2013.

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9789814451512, 9814451517
  • DOI:10.1007/978-981-4451-51-2
  • oclc:ocn865184637
  • LC Classification:QA274.7
  • Dewey Decimal:519.2

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