Stochastic Processes: Theory and Applications

Dublin Core

Title

Stochastic Processes: Theory and Applications

Subject

Mathematics

Description

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.

Creator

Zeifman, Alexander --- Korolev, Victor --- Sipin, Alexander

Source

https://www.mdpi.com/books/pdfview/book/1892

Publisher

MDPI - Multidisciplinary Digital Publishing Institute

Date

2019

Contributor

Baihaqi

Rights

Creative Commona

Format

PDF

Language

English

Type

Textbooks

Files

Collection

Citation

Zeifman, Alexander --- Korolev, Victor --- Sipin, Alexander, “Stochastic Processes: Theory and Applications,” Open Educational Resource (OER) - USK Library, accessed June 25, 2024, http://uilis.usk.ac.id/oer/items/show/3925.

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