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Markov chains : analytic and Monte Carlo computations / Carl Graham.

By: Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: Chichester : John Wiley, c2014.Description: xvi, 232 p. : illustrations ; 24 cmISBN:
  • 9781118517079 (cloth)
Subject(s): DDC classification:
  • 519.233 23 G738
Contents:
1. First steps-- 2. Past, present, and future-- 3. Transience and recurrence-- 4. Long-time behavior-- 5. Monte Carlo methods-- Appendix A-- References-- Solutions for the exercises-- Index.
Summary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 519.233 G738 (Browse shelf(Opens below)) Available 135815
Total holds: 0

Includes bibliographical references (page 195) and index.

1. First steps--
2. Past, present, and future--
3. Transience and recurrence--
4. Long-time behavior--
5. Monte Carlo methods--
Appendix A--
References--
Solutions for the exercises--
Index.

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.

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