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Discrete-Time Semi-Markov Random Evolutions and Their Applications / by Nikolaos Limnios, Anatoliy Swishchuk
(Probability and Its Applications. ISSN:22970398)

Edition 1st ed. 2023.
Publisher (Cham : Springer Nature Switzerland : Imprint: Birkhäuser)
Year 2023
Language English
Size XVI, 198 p. 2 illus : online resource
Authors *Limnios, Nikolaos author
Swishchuk, Anatoliy author
SpringerLink (Online service)
Subjects LCSH:Stochastic processes
LCSH:Probabilities
LCSH:Mathematical statistics
LCSH:Dynamical systems
FREE:Stochastic Processes
FREE:Probability Theory
FREE:Mathematical Statistics
FREE:Applied Probability
FREE:Dynamical Systems
FREE:Stochastic Systems and Control
Notes This book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving the definitions of discrete-time semi-Markov chains and random evolutions, it presents the asymptotic theory in a functional setting, including weak convergence results in the series scheme, and their extensions in some additional directions, including reduced random media, controlled processes, and optimal stopping. Finally, applications of discrete-time semi-Markov random evolutions in epidemiology and financial mathematics are discussed. This book will be of interest to researchers and graduate students in applied mathematics and statistics, and other disciplines, including engineering, epidemiology, finance and economics, who are concerned with stochastic models of systems
HTTP:URL=https://doi.org/10.1007/978-3-031-33429-0
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E-Book オンライン 電子ブック

Springer eBooks 9783031334290
電子リソース
EB00229466

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Material Type E-Book
Classification LCC:QA274-274.9
DC23:519.23
ID 4001021175
ISBN 9783031334290

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