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Item Details
Title: ANALYSIS OF VARIATIONS FOR SELF-SIMILAR PROCESSES
A STOCHASTIC CALCULUS APPROACH
By: Ciprian A. Tudor
Format: Paperback

List price: £99.99


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ISBN 10: 3319033689
ISBN 13: 9783319033686
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 14 April, 2014
Edition: Softcover reprint of the original 1st ed. 2013
Series: Probability and Its Applications
Pages: 268
Description: This book presents basic properties of self-similar processes, focusing on the study of their variation using stochastic analysis, and also surveys recent techniques and findings on limit theorems and Malliavin calculus.
Synopsis: Self-similar processes are stochastic processes that are invariant in distribution under suitable time scaling, and are a subject intensively studied in the last few decades. This book presents the basic properties of these processes and focuses on the study of their variation using stochastic analysis. While self-similar processes, and especially fractional Brownian motion, have been discussed in several books, some new classes have recently emerged in the scientific literature. Some of them are extensions of fractional Brownian motion (bifractional Brownian motion, subtractional Brownian motion, Hermite processes), while others are solutions to the partial differential equations driven by fractional noises. In this monograph the author discusses the basic properties of these new classes of self-similar processes and their interrelationship. At the same time a new approach (based on stochastic calculus, especially Malliavin calculus) to studying the behavior of the variations of self-similar processes has been developed over the last decade. This work surveys these recent techniques and findings on limit theorems and Malliavin calculus.
Illustrations: XI, 268 p.
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Non-returnable
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