Fractional Fields and Applications

Name: Fractional Fields and Applications
Brand: Springer, Berlin
SKU: 9783642367380
Price: 15500 HUF
Availability: InStock

Szerző: Serge Cohen, Jacques Istas

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

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This book focuses mainly on fractional Brownian fields and their extensions. It has been used to tea...

Információk a könyvről

Szerző

Serge Cohen, Jacques Istas

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2013

oldal

270

EAN

9783642367380

ISBN

3642367380

Enbook ID

05281557

Kiadó

Springer, Berlin

Súly

438

Méretek

155 x 236 x 16

Teljes leírás

This book focuses mainly on fractional Brownian fields and their extensions. It has been used to teach graduate students at Grenoble and Toulouse's Universities. It is as self-contained as possible and contains numerous exercises, with solutions in an appendix. After a foreword by Stéphane Jaffard, a long first chapter is devoted to classical results from stochastic fields and fractal analysis. A central notion throughout this book is self-similarity, which is dealt with in a second chapter with a particular emphasis on the celebrated Gaussian self-similar fields, called fractional Brownian fields after Mandelbrot and Van Ness's seminal paper. Fundamental properties of fractional Brownian fields are then stated and proved. The second central notion of this book is the so-called local asymptotic self-similarity (in short lass), which is a local version of self-similarity, defined in the third chapter. A lengthy study is devoted to lass fields with finite variance. Among these lass fields, we find both Gaussian fields and non-Gaussian fields, called Lévy fields. The Lévy fields can be viewed as bridges between fractional Brownian fields and stable self-similar fields. A further key issue concerns the identification of fractional parameters. This is the raison d'ętre of the statistics chapter, where generalized quadratic variations methods are mainly used for estimating fractional parameters. Last but not least, the simulation is addressed in the last chapter. Unlike the previous issues, the simulation of fractional fields is still an area of ongoing research. The algorithms presented in this chapter are efficient but do not claim to close the debate.

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Fractional Fields and Applications

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