Computational Science Issues
Carlos Polanco · BENTHAM SCIENCE PUBLISHERS eBooks · 2023
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.