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.