Di Crescenzo Stochastic Processes with Applications

Stochastic Processes with Applications

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Beschreibung

Stochastic processes have wide relevance in mathematics both for theoretical aspects and for their numerous real-world applications in various domains. They represent a very active research field which is attracting the growing interest of scientists from a range of disciplines. This Special Issue aims to present a collection of current contributions concerning various topics related to stochastic processes and their applications. In particular, the focus here is on applications of stochastic processes as models of dynamic phenomena in research areas certain to be of interest, such as economics, statistical physics, queuing theory, biology, theoretical neurobiology, and reliability theory. Various contributions dealing with theoretical issues on stochastic processes are also included.

Autor*in

Antonio Di Crescenzo

Themen in »Stochastic Processes with Applications«

fusion estimation sensor networks random parameter matrices multiplicative noises random delays realized volatility forecast combinations structural breaks arithmetic progressions first Chebyshev function products of primes regularly varying functions slowly varying functions mixed Gaussian process small deviations

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Details

ISBN: 9783039217281
Verlag: MDPI
Erscheinung: 28.11.2019

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