Stochastic Processes: Theory and Applications

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.