Applied Probability and Stochastic Processes

V. C. Joshua (Hrsg.), Vladimir M. Vishnevsky (Hrsg.), S. R. S. Varadhan (Hrsg.)

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7–10 January 2019. It showcases high-quality research conducted in the field of applied probability and stochastic processes by focusing on techniques for the modelling and analysis of systems evolving with time. Further, it discusses the applications of stochastic modelling in queuing theory, reliability, inventory, financial mathematics, operations research, and more. This book is intended for a broad audience, ranging from researchers interested in applied probability, stochastic modelling with reference to queuing theory, inventory, and reliability, to those working in industries such as communication and computer networks, distributed information systems, next-generation communication systems, intelligent transportation networks, and financial markets.

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Schlagwörter

queueing system, DUS transformation, stochastic processes, analysis, mathematical finance, MAP risk model, Donsker–Varadhan formula, applied probability, Collatz–Wielandt formula