Theoretical and numerical comparisons of the parameter estimator of the fractional Brownian motion

Bibliographic Details
Title: Theoretical and numerical comparisons of the parameter estimator of the fractional Brownian motion
Authors: Bardet, Jean-Marc
Contributors: Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM), Université Paris 1 Panthéon-Sorbonne (UP1), Springer, Toka Diagana and Bourama Toni
Superior Title: Mathematical Structures and Applications ; https://hal.science/hal-01674067 ; Springer. Mathematical Structures and Applications, STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health, Springer, pp.153-173, In press, Mathematical Structures and Applications, ⟨10.1007/978-3-319-97175-9⟩
Publisher Information: HAL CCSD
Springer
Publication Year: 2018
Collection: Université Paris 1 Panthéon-Sorbonne: HAL
Subject Terms: [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]
Description: International audience ; The fractional Brownian motion which has been defined by Kolmogorov \cite{k40} and numerous papers was devoted to its study since its study in Mandelbrot and Van Ness \cite{MvN:68} 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.
Document Type: book part
Language: English
Relation: hal-01674067; https://hal.science/hal-01674067; https://hal.science/hal-01674067/document; https://hal.science/hal-01674067/file/Norbert.pdf
DOI: 10.1007/978-3-319-97175-9
Availability: https://doi.org/10.1007/978-3-319-97175-9
https://hal.science/hal-01674067
https://hal.science/hal-01674067/document
https://hal.science/hal-01674067/file/Norbert.pdf
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.64AD7FF1
Database: BASE
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