Markov Chains: Analytic and Monte Carlo Computations

by Carl Graham

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.

264 pages, Hardcover

First published January 1, 2014

Reviews

[Johnny · Rating 2 out of 5]

A lecture put into a book. Lacks for me a lot of explanation and as a reader I miss the flow of a “regular” book.