Fractional Fields and Applications

1. Front Matter

   Pages i-xii

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2. Introduction

   • Serge Cohen, Jacques Istas

   Pages 1-4

3. Preliminaries

   • Serge Cohen, Jacques Istas

   Pages 5-53

4. Self-Similarity

   • Serge Cohen, Jacques Istas

   Pages 55-94

5. Asymptotic Self-Similarity

   • Serge Cohen, Jacques Istas

   Pages 95-156

6. Statistics

   • Serge Cohen, Jacques Istas

   Pages 157-190

7. Simulations

   • Serge Cohen, Jacques Istas

   Pages 191-221

8. Back Matter

   Pages 223-270

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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'être 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.

• Lévy fields
• fractional Brownian fields
• self-similarity
• simulation
• statistics
• complexity

From the reviews:

“This monograph considers fractional Brownian fields and their extensions. … The text is well written and should be accessible for readers with basic knowledge in probability and stochastic processes. With its wide range of different topics it closes a gap in the existing literature and will be of great use for anybody interested in the topic.” (Hilmar Mai, zbMATH, Vol. 1279, 2014)

• Institut de Mathématiques de Toulouse, Université Paul Sabatier, Toulouse, France

  Serge Cohen

• Laboratoire Jean Kuntzmann, Université Grenoble et CNRS, Saint-Martin d'Hères, France

  Jacques Istas

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