Theoretical and Numerical Comparisons of the Parameter Estimator of the Fractional Brownian Motion

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Abstract

The fractional Brownian motion which has been defined by Kolmogorov (CR (Doklady) Acad Sci URSS (N.S.) 26:115–118) and numerous papers was devoted to its study since its study in Mandelbrot and Van Ness (SIAM Rev 10:422–437, 1968) [19] present it as a paradigm of self-similar processes. The self-similarity parameter, also called the Hurst parameter, commands the dynamic of this process and the accuracy of its estimation is often crucial. We present here the main and used methods of estimation, with the limit theorems satisfied by the estimators. A numerical comparison is also provided allowing to distinguish between the estimators.

Original languageEnglish
Title of host publicationSTEAM-H
Subtitle of host publicationScience, Technology, Engineering, Agriculture, Mathematics and Health
PublisherSpringer Nature
Pages153-173
Number of pages21
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes

Publication series

NameSTEAM-H: Science, Technology, Engineering, Agriculture, Mathematics and Health
ISSN (Print)2520-193X
ISSN (Electronic)2520-1948

Keywords

  • Fractional Brownian motion
  • Long memory process
  • Parametric estimation

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