Understanding Markov chains : examples and applications

This book provides an undergraduate introduction to discrete and continuous-time Markov chains and their applications. A large focus is placed on the first step analysis technique and its applications to average hitting times and ruin probabilities. Classical topics such as recurrence and transience...

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Hlavní autor: Privault, Nicolas, 1965-
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Singapore : Springer Nature Singapore [20..].
Cham : Springer Nature
Vydání:1st ed. 2013.
Edice:Springer Undergraduate Mathematics Series
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Poznámka: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Understanding Markov Chains, Texte imprimé, 9789814451529
• Understanding Markov Chains, Texte imprimé, 9789814451505
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Shrnutí:This book provides an undergraduate introduction to discrete and continuous-time Markov chains and their applications. A large focus is placed on the first step analysis technique 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
Popis jednotky:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9789814451512
ISSN:2197-4144
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