AbstractWe consider the approximation of a fractional Brownian motion by a wavelet series expansion at resolution 2−l. The approximation error is measured in the integrated mean squared sense over finite intervals and we obtain its expansion as a sum of terms with increasing rates of convergence. The dependence of the coefficients in the expansion of the error on the scale function is explicitly determined
International audienceThe work developed in the paper concerns the multivariate fractional Brownian ...
In this paper an explicit analytical formula for the any order fractional derivative of Shannon wave...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
AbstractWe consider the approximation of a fractional Brownian motion by a wavelet series expansion ...
<p>Along with estimates for the simulated time series (blue), estimates for the time series integral...
The aim of this paper is to approximate a stochastic integral with respect to a fractional Brownian ...
Let X be a continuous fractional Brownian motion with parameter of self-similarity H. Let \psi be a ...
AbstractWe reexamine the wavelet-based simulation procedure for fractional Brownian motion proposed ...
Several results are proved which characterize the rate at which wavelet and multiresolution expansio...
This work provides asymptotic properties of the autocorrelation functions of the wavelet packet coef...
AbstractWavelets provide a new class of orthogonal expansions in L2(Rd) with good time/frequency loc...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
The work developed in the paper concerns the multivariate fractional Brownian motion (mfBm) viewed t...
Abstract: Wavelet based estimators of the H parameter for fractional Brownian motion (fBm) is known ...
Based on an optimal rate wavelet series representation, we derive a local modulus of continuity resu...
International audienceThe work developed in the paper concerns the multivariate fractional Brownian ...
In this paper an explicit analytical formula for the any order fractional derivative of Shannon wave...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...
AbstractWe consider the approximation of a fractional Brownian motion by a wavelet series expansion ...
<p>Along with estimates for the simulated time series (blue), estimates for the time series integral...
The aim of this paper is to approximate a stochastic integral with respect to a fractional Brownian ...
Let X be a continuous fractional Brownian motion with parameter of self-similarity H. Let \psi be a ...
AbstractWe reexamine the wavelet-based simulation procedure for fractional Brownian motion proposed ...
Several results are proved which characterize the rate at which wavelet and multiresolution expansio...
This work provides asymptotic properties of the autocorrelation functions of the wavelet packet coef...
AbstractWavelets provide a new class of orthogonal expansions in L2(Rd) with good time/frequency loc...
A wavelet basis is an orthonormal basis of smooth functions generated by dilations by 2-m and transl...
The work developed in the paper concerns the multivariate fractional Brownian motion (mfBm) viewed t...
Abstract: Wavelet based estimators of the H parameter for fractional Brownian motion (fBm) is known ...
Based on an optimal rate wavelet series representation, we derive a local modulus of continuity resu...
International audienceThe work developed in the paper concerns the multivariate fractional Brownian ...
In this paper an explicit analytical formula for the any order fractional derivative of Shannon wave...
In this note we announce that under general hypotheses, wavelet-type expansions (of functions in L ...