Abstract
Named after the Russian mathematician Andrei Andreievich Markov (1856-1922), Markov chains and processes express the probability evolution of events, whose future, loosely speaking, is independent of their past. The terminological difference between the two designations is that Markov chains are related to discrete events, whereas Markov processes are related to continuous events.
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Fahidy, T.Z. (2006). Modeling Electrochemical Phenomena via Markov Chains and Processes. In: Vayenas, C., White, R.E., Gamboa-Adelco, M.E. (eds) Modern Aspects of Electrochemistry. Modern Aspects of Electrochemistry, vol 39. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31701-4_3
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DOI: https://doi.org/10.1007/978-0-387-31701-4_3
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