Computational Science Issues

- By Carlos Polanco1
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View Affiliations Hide AffiliationsAffiliations: 1 Department of Electromechanical Instrumentation, Instituto Nacional de Cardiología Ignacio Chávez, México | Faculty of Sciences, Universidad Nacional Autónoma de México, México
- Source: Markov Chain Process: Theory and Cases , pp 87-92
- Publication Date: June 2023
- Language: English
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. nbsp;
Hardbound ISBN:
9789815080483
Ebook ISBN:
9789815080476
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