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Stochastic Calculus for Fractional Brownian Motion and Applications
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Catalogue Information
Field name
Details
Dewey Class
519.2
Title
Stochastic Calculus for Fractional Brownian Motion and Applications ([Ebook]) / by Francesca Biagini, Yaozhong Hu, Bernt Øksendal, Tusheng Zhang.
Author
Biagini, Francesca
Added Personal Name
Hu, Yaozhong
Zhang, Tusheng
Øksendal, B. K.(Bernt Karsten) , 1945-
Other name(s)
SpringerLink (Online service)
Publication
London : Springer London , 2008.
Physical Details
: online resource.
Series
Probability and Its Applications
1431-7028
ISBN
9781846287978
Summary Note
Fractional Brownian motion (fBm) has been widely used to model a number of phenomena in diverse fields from biology to finance. This huge range of potential applications makes fBm an interesting object of study. fBm represents a natural one-parameter extension of classical Brownian motion therefore it is natural to ask if a stochastic calculus for fBm can be developed. This is not obvious, since fBm is neither a semimartingale (except when H = ½), nor a Markov process so the classical mathematical machineries for stochastic calculus are not available in the fBm case. Several approaches have been used to develop the concept of stochastic calculus for fBm. The purpose of this book is to present a comprehensive account of the different definitions of stochastic integration for fBm, and to give applications of the resulting theory. Particular emphasis is placed on studying the relations between the different approaches. Readers are assumed to be familiar with probability theory and stochastic analysis, although the mathematical techniques used in the book are thoroughly exposed and some of the necessary prerequisites, such as classical white noise theory and fractional calculus, are recalled in the appendices. This book will be a valuable reference for graduate students and researchers in mathematics, biology, meteorology, physics, engineering and finance. Aspects of the book will also be useful in other fields where fBm can be used as a model for applications.:
Contents note
Part I: Fractional Brownian Motion -- Intrinsic properties of the fractional Brownian motion. Part II: Stochastic Calculus -- Wiener and divergence-type integrals for fractional Brownian motion -- Fractional Wick-It´-Skorohod (fWIS-) integrals for fractional Brownian motion of Hurst Index H > ½ -- Wick-Itô-Skorohod integrals for fractional Brownian motion -- Pathwise integrals for fractional Brownian motion -- A useful summary. Part III: Applications of Stochastic Calculus -- Fractional Brownian motion in finance -- Stochastic partial differential equations driven by fractional Brownian fields -- Stochastic optimal control and applications -- Local time for fractional Brownian motion. Part IV: Appendices -- Classical Malliavin calculus -- Notions from fractional calculus -- Estimation of Hurst parameter -- Stochastic differential equations for fBm -- References -- List of symbols and notation -- Index.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-1-84628-797-8
Links to Related Works
Subject References:
Applications of Mathematics
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Brownian motion processes
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Distribution (Probability theory)
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Economics
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Mathematics
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Probability theory and stochastic processes
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Statistics for Business/Economics/Mathematical Finance/Insurance
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Authors:
author
.
Biagini, Francesca
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Hu, Yaozhong
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Øksendal, B. K.(Bernt Karsten) 1945-
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Zhang, Tusheng
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Corporate Authors:
SpringerLink (Online service)
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Series:
Probability and Its Applications
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Classification:
519.2
.
519.2 (DDC 22)
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