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

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

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 processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model