Interacting Markov Processes
Interacting Markov processes are obtained by superimposing some type of interaction on many otherwise independent Markovian subsystems. As a result of the interaction, the subsystems fail to have the Markov property; the system as a whole remains Markovian, however. This subject has grown rapidly during the past decade. It is a branch of modern probability theory, but it draws much of its inspiration and motivation from various areas of science, including physics and biology.
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