Reprint

Stochastic Processes

Theory and Applications

Edited by
December 2019
216 pages
  • ISBN978-3-03921-962-9 (Paperback)
  • ISBN978-3-03921-963-6 (PDF)

This is a Reprint of the Special Issue Stochastic Processes: Theory and Applications that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary

The aim of this special issue is to publish original research papers that cover recent advances in the theory and application of stochastic processes. There is especial focus on applications of stochastic processes as models of dynamic phenomena in various research areas, such as queuing theory, physics, biology, economics, medicine, reliability theory, and financial mathematics. Potential topics include, but are not limited to: Markov chains and processes; large deviations and limit theorems; random motions; stochastic biological model; reliability, availability, maintenance, inspection; queueing models; queueing network models; computational methods for stochastic models; applications to risk theory, insurance and mathematical finance.

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