Abstract
This chapter introduces a Hierarchical Markov Chain Process over a hierarchical network whose nodes are Discrete-Time Markov Chain and Continuous-Time Markov Chain Processes. We consider it useful to carry out this non-exhaustive
analysis to discuss the advantages and disadvantages of a random walk of this nature and its possible application, particularly in real-time and in unsupervised mode.
Examples are provided under the discrete and continuous schemes.