In this paper we present a novel method for the construction of a stochastic process whose multifractal spectrum has been prescribed. The main idea of the construction is to choose a suitable time-change reparametrizing the time of a fractional Brownian motion with an appropriately chosen Hurst parameter. Under certain conditions every given linear spectrum can be reproduced using this construction. Moreover, a wide range of Legendre spectra can be arbitrarily closely approximated. The properties of the model are also discussed and the possible use of the model is shown in a simulation study
Fractal geometry, pioneered by Mandelbrot in the 70s, has been recognized in many areas of science. ...
We introduce a Multifractal Random Walk (MRW) defined as a stochastic integral of an infinitely divi...
International audienceIn this work, we investigate the fine regularity of Lévy processes using the 2...
. Multifractional Brownian motion (MFBm) is a generalization of Fractional Brownian motion (FBm) in ...
peer reviewedWe give a construction of a multifractal process with prescribed Hölder exponents start...
21 pages, 3 figuresThe Ornstein-Uhlenbeck process can be seen as a paradigm of a finite-variance and...
Conference PaperWe study <i>fractional Brownian motions in multifractal time</i>, a model for multif...
peer reviewedA first type of Multifractional Process with Random Exponent (MPRE) was constructed sev...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
AbstractThe multifractional Brownian motion (MBM) processes are locally self-similar Gaussian proces...
Conference PaperThe multifractal spectrum characterizes the scaling and singularity structures of si...
International audienceThe characterization of intermittency in turbulence has its roots in the K62 t...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
In various fields, such as teletraffic and economics, measured time series have been reported to adh...
Multifractional Processes with Random Exponent (MPRE) are obtained by replacing the Hurst parameter ...
Fractal geometry, pioneered by Mandelbrot in the 70s, has been recognized in many areas of science. ...
We introduce a Multifractal Random Walk (MRW) defined as a stochastic integral of an infinitely divi...
International audienceIn this work, we investigate the fine regularity of Lévy processes using the 2...
. Multifractional Brownian motion (MFBm) is a generalization of Fractional Brownian motion (FBm) in ...
peer reviewedWe give a construction of a multifractal process with prescribed Hölder exponents start...
21 pages, 3 figuresThe Ornstein-Uhlenbeck process can be seen as a paradigm of a finite-variance and...
Conference PaperWe study <i>fractional Brownian motions in multifractal time</i>, a model for multif...
peer reviewedA first type of Multifractional Process with Random Exponent (MPRE) was constructed sev...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
AbstractThe multifractional Brownian motion (MBM) processes are locally self-similar Gaussian proces...
Conference PaperThe multifractal spectrum characterizes the scaling and singularity structures of si...
International audienceThe characterization of intermittency in turbulence has its roots in the K62 t...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
In various fields, such as teletraffic and economics, measured time series have been reported to adh...
Multifractional Processes with Random Exponent (MPRE) are obtained by replacing the Hurst parameter ...
Fractal geometry, pioneered by Mandelbrot in the 70s, has been recognized in many areas of science. ...
We introduce a Multifractal Random Walk (MRW) defined as a stochastic integral of an infinitely divi...
International audienceIn this work, we investigate the fine regularity of Lévy processes using the 2...