130 articles – 87 references  [version française]
HAL: hal-00707201, version 1

Detailed view  Export this paper
JdS 2012, Bruxelles : Belgique (2012)
Nonparametric estimation of the local Hurst function of multifractional Gaussian processes
Jean-Marc Bardet 1
(2012-05-21)

A new nonparametric estimator of the local Hurst function of a multifractional Gaussian process based on the increment ratio (IR) statistic is defined. In a general frame, the point-wise and uniform weak and strong consistency and a multidimensional central limit theorem for this estimator are established. Similar results are obtained for a refinement of the generalized quadratic variations (QV) estimator. The example of the multifractional Brownian motion is studied in detail. A simulation study is included showing that the IR-estimator is more accurate than the QV-estimator.
1:  Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM)
Université Paris I - Panthéon-Sorbonne
Mathematics/Statistics

Statistics/Statistics Theory