Regularity and Integration Theory for a Class of Stochastic Processes (Paperback)

This book aims to develop a general integration theory for stochastic processes with stationary increments and spectral density. This class of motions particularly allows the simultaneous study of long-range dependence and intermittency effects and includes the most relevant random processes used in modern stochastic analysis. So for instance the Wiener process, the fractional Brownian motion, the fractional Riesz-Bessel motion but also Poisson and Levy processes. The so obtained knowledge on generalised stochastic integration will be used to achieve regularity results and is applied to parabolic Volterra problems with random noise as well as to the problem of anomalous diffusion with stochastic disturbance along the boundary.

General

Imprint:	Sudwestdeutscher Verlag Fur Hochschulschriften AG
Country of origin:	United States
Release date:	December 2012
First published:	December 2012
Authors:	Stefan Sperlich
Dimensions:	229 x 152 x 8mm (L x W x T)
Format:	Paperback - Trade
Pages:	140
ISBN-13:	978-3-8381-3595-3
Categories:	Books > Science & Mathematics > Mathematics > General
LSN:	3-8381-3595-4
Barcode:	9783838135953

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