Stability Problems for Stochastic Models: Theory and Applications II

Dear Colleagues,

The aim of this Special Issue is to publish original research articles that cover recent advances in probability theory, stochastic processes, mathematical statistics, and their applications. The focus will especially be on stability problems related to this field, including treatment of limit theorems as the source of practical approximations, applications of limit distributions as probability models of statistical regularities in observed data, and 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 the following:

• Limit theorems and stability problems;
• Asymptotic theory of stochastic processes;
• Stable distributions and processes;
• Asymptotic statistics;
• Discrete probability models;
• Characterizations of probability distributions;
• Insurance and financial mathematics;
• Applied statistics;
• Queueing theory including queueing network models;
• Markov chains and processes;
• Large deviations and limit theorems;
• Random motions;
• Stochastic biological models;
• Reliability, availability, maintenance, and inspection;
• Computational methods for stochastic models.

Prof. Dr. Alexander Zeifman
Prof. Dr. Victor Korolev
Prof. Dr. Alexander Sipin
Guest Editors

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