Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding sophisticated measure theo

Besides the investigation of general chains the book contains chapters which are concerned with eigenvalue techniques, conductance, stopping times, the strong M

Markov process theory provides a mathematical framework for analyzing the elements of randomness that are involved in most real-world dynamical processes. This

Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes, a

This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with