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Non-Gaussian Selfsimilar Stochastic Processes

Non-Gaussian Selfsimilar Stochastic Processes

von Ciprian Tudor
Softcover - 9783031337710
53,49 €
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Beschreibung

This book offers an introduction to the field of stochastic analysis of Hermite processes. These selfsimilar stochastic processes with stationary increments live in a Wiener chaos and include the fractional Brownian motion, the only Gaussian process in this class. 

Using the Wiener chaos theory and multiple stochastic integrals, the book covers the main properties of Hermite processes and their multiparameter counterparts, the Hermite sheets. It delves into the probability distribution of these stochastic processes and their sample paths, while also presenting the basics of stochastic integration theory with respect to Hermite processes and sheets.

The book goes beyond theory and provides a thorough analysis of physical models driven by Hermite noise, including the Hermite Ornstein-Uhlenbeck process and the solution to the stochastic heat equation driven by such a random perturbation. Moreover, it explores up-to-date topics central to current research in statistical inference for Hermite-driven models.

Details

Verlag Springer International Publishing
Ersterscheinung 05. Juli 2023
Maße 23.5 cm x 15.5 cm
Gewicht 189 Gramm
Format Softcover
ISBN-13 9783031337710
Seiten 101

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