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Stable non-Gaussian self-similar processes with stationary increments

Author: Vladas Pipiras; Murad S Taqqu
Publisher: Cham : Springer, 2017.
Series: SpringerBriefs in probability and mathematical statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors present a way to describe and classify these processes by relating them to so-called deterministic flows. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version :
Stable non-Gaussian self-similar processes with stationary increments.
(OCoLC)989966383
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Vladas Pipiras; Murad S Taqqu
ISBN: 9783319623313 3319623311
OCLC Number: 1021257431
Description: 1 online resource (xiii, 135 pages)
Contents: Preliminaries --
Minimality, Rigidity, and Flows --
Mixed Moving Averages and Self-similarity --
A. Historical Notes --
B. Standard Lebesgue Spaces and Projections --
C. Notation Summary.
Series Title: SpringerBriefs in probability and mathematical statistics.
Responsibility: Vladas Pipiras, Murad S. Taqqu.

Abstract:

This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The first sections in the book review random  Read more...

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