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 November 3, 2024, http://uilis.usk.ac.id/oer/items/show/3925.