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[学术资料] Stochastic Calculus for Fractional Brownian Motion and Applications [推广有奖]

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SleepyTom 发表于 2015-3-1 04:26:41 |AI写论文

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Stochastic Calculus for Fractional Brownian Motion and Applications


Authors:
  • Francesca Biagini,
  • Yaozhong Hu,
  • Bernt Øksendal,
  • Tusheng Zhang

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  • The first book to compare the different frameworks and methods of stochastic integration for fBm. It also discusses the applications of the resulting theory.
  • Written by leading contributors to the field.
  • Emphasis is placed on looking at the relationships between the differing approaches to stochastic integration

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.


Content Level » Research

Keywords » Brownian motion - Markov - Markov process - Martingale - Potential - Probability theory - Semimartingale - Stochastic calculus - calculus - equation - fractional Brownian motion -local time - mathematics - model - partial differential equation


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关键词:Applications Application Stochastic Fractional Brownian Francesca

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沙发
SleepyTom(未真实交易用户) 发表于 2015-3-1 04:41:10
PDF文件。很清晰

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三江鸿(真实交易用户) 发表于 2023-1-19 13:55:47 来自手机
点个赞感谢分享

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