Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields

Dear Colleagues,

Modern Probability has a face with two different sides. One side is the closest possible to being a branch of pure mathematics, derived from certain axioms in classical areas of algebra. On the other side, however, probability is an applied mathematics discipline, most commonly known as applied probability, although the usual distinction between pure and applied mathematics is, in our opinion, merely artificial. This side, without being less demanding mathematically or stochastically, produces valuable models for studying everyday phenomena in the real world. Stochastic processes are by now well established as an extension of probability theory. In the area of stochastic processes, Markov and semi-Markov processes play a vital role as an independent area of study, generating important and novel applications and new mathematical results. Additionally, they play a vital part in emerging new areas of research by blending with dynamic developing areas of statistical research and large-scale data manipulation.

We invite our colleagues to submit papers to areas related to the following keywords and also in any closed linked field of study not mentioned specifically here.

Prof. Dr. Andreas C. Georgiou
Prof. Dr. Panagiotis-Christos Vassiliou
Guest Editors

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