Selected Aspects of Fractional Brownian Motion

This book PDF is perfect for those who love Mathematics genre, written by Ivan Nourdin and published by Springer Science & Business Media which was released on 17 January 2013 with total hardcover pages 133. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Selected Aspects of Fractional Brownian Motion books below.

Selected Aspects of Fractional Brownian Motion
Author : Ivan Nourdin
File Size : 55,8 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 17 January 2013
ISBN : 9788847028234
Pages : 133 pages
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Selected Aspects of Fractional Brownian Motion by Ivan Nourdin Book PDF Summary

Fractional Brownian motion (fBm) is a stochastic process which deviates significantly from Brownian motion and semimartingales, and others classically used in probability theory. As a centered Gaussian process, it is characterized by the stationarity of its increments and a medium- or long-memory property which is in sharp contrast with martingales and Markov processes. FBm has become a popular choice for applications where classical processes cannot model these non-trivial properties; for instance long memory, which is also known as persistence, is of fundamental importance for financial data and in internet traffic. The mathematical theory of fBm is currently being developed vigorously by a number of stochastic analysts, in various directions, using complementary and sometimes competing tools. This book is concerned with several aspects of fBm, including the stochastic integration with respect to it, the study of its supremum and its appearance as limit of partial sums involving stationary sequences, to name but a few. The book is addressed to researchers and graduate students in probability and mathematical statistics. With very few exceptions (where precise references are given), every stated result is proved.

Selected Aspects of Fractional Brownian Motion

Fractional Brownian motion (fBm) is a stochastic process which deviates significantly from Brownian motion and semimartingales, and others classically used in probability theory. As a centered Gaussian process, it is characterized by the stationarity of its increments and a medium- or long-memory property which is in sharp contrast with martingales

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