Markov Chains

Analytic and Monte Carlo Computations

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Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2014-04-02



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Description

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features: Numerous exercises with solutions as well as extended case studies. A detailed and rigorous presentation of Markov chains with discrete time and state space. An appendix presenting probabilistic notions that are necessary to the reader, as well as giving more advanced measure-theoretic notions.
Pages
264 pages
Collection
Wiley Series in Probability and Statistics
Parution
2014-04-02
Marque
Wiley
EAN papier
9781118517079
EAN PDF
9781118881873

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
264
Taille du fichier
7393 Ko
Prix
101,23 €
EAN EPUB
9781118882696

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
264
Taille du fichier
39444 Ko
Prix
101,23 €